1  100
Next
Number of results to display per page
1  100
Next
Number of results to display per page
1. Natural sciences [2021 ]
 Natural sciences (Weinheim, Germany)
 Weinheim, Germany : WileyVCH GmbH, [2021]
 Description
 Journal/Periodical — 1 online resource
2. Cell reports. Physical science [2020 ]
 Cell reports. Physical science.
 [Cambridge, MA] : Cell Press, 2020
 Description
 Journal/Periodical — online resource
 Summary

Cell Reports. Physical Science promotes collaboration and interdisciplinary work between physical scientists. Articles express fundamental insight and/or technological application within fields including: chemistry, physics, materials science, energy science, and engineering. Includes shortform singlepoint stories called Reports, longer Articles and short Reviews covering recent literature in emerging and active fields.
Medical Library (Lane)
Medical Library (Lane)  Status 

Check Lane Library catalog for status  
SCIENCEDIRECT  Unknown 
3. Small structures [2020 ]
 Small structures (Weinheim, Germany)
 Weinheim, Germany : WileyVCH GmbH, [2020]
 Description
 Journal/Periodical — 1 online resource
4. ACS applied polymer materials [2019 ]
 Washington, DC : American Chemical Society, 2019
 Description
 Journal/Periodical
 Washington, DC : American Chemical Society, 2019.
 Description
 Book — 1 online resource (213 pages) : illustrations.
 Summary

 Using Flipped Classroom Settings to Shift the Focus of a General Chemistry Course from Topic Knowledge to Learning and ProblemSolving Skills: A Tale of Students Enjoying the Class They Were Expecting to Hate / Ramella, Daniele, College of Science and TechnologyDepartment of Chemistry, Temple University, 1901 North 13th Street, Philadelphia, Pennsylvania 19122, United States; Brock, Benjamin E., CATCenter for Advancement of Teaching, Temple University, Philadelphia, Pennsylvania 19122, United States, School of Education, Temple University, Philadelphia, Pennsylvania 19122, United States; Velopolcek, Maria K., Department of Chemistry, Duke University, Durham, North Carolina 27701, United States; Winters, Kyle P., School of Dentistry, Temple University, Philadelphia, Pennsylvania 19140, United States / http://dx.doi.org/10.1021/bk20191322.ch001
 Combining Preclass Preparation with Collaborative InClass Activities to Improve Student Engagement and Success in General Chemistry / Blaser, Mark / http://dx.doi.org/10.1021/bk20191322.ch002
 Using ClickerBased Group Work Facilitated by a Modified Peer Instruction Process in a Highly Successful Flipped General Chemistry Classroom / Pollozi, Shejla, Department of Chemistry, Lehman College of the City University of New York, 250 Bedford Park Boulevard West, Bronx, New York 10468, United States, Ph.D. Program in Chemistry, The Graduate Center of the City University of New York, New York, New York 10016, United States; Haddad, Ibrahim, Department of Chemistry, Lehman College of the City University of New York, 250 Bedford Park Boulevard West, Bronx, New York 10468, United States; Tyagi, Aanchal, Department of Chemistry, Lehman College of the City University of New York, 250 Bedford Park Boulevard West, Bronx, New York 10468, United States; Mills, Pamela, Department of Chemistry, Lehman College of the City University of New York, 250 Bedford Park Boulevard West, Bronx, New York 10468, United States, Ph.D. Program in Chemistry, The Graduate Center of the City University of New York, New York, New York 10016, United States; McGregor, Donna, Department of Chemistry, Lehman College of the City University of New York, 250 Bedford Park Boulevard West, Bronx, New York 10468, United States, Ph.D. Program in Chemistry, The Graduate Center of the City University of New York, New York, New York 10016, United States / http://dx.doi.org/10.1021/bk20191322.ch003
 Maximizing Learning Efficiency in General Chemistry / Cracolice, Mark S., Department of Chemistry & Biochemistry, University of Montana, Missoula, Montana 59812, United States; Queen, Matt, Department of Biological and Physical Sciences, Montana State University Billings, 1500 University Drive, Billings, Montana 59101, United States / http://dx.doi.org/10.1021/bk20191322.ch004
 Flipping General Chemistry in Small Classes: Students' Perception and Success / HutchinsonAnderson, Kelly M. / http://dx.doi.org/10.1021/bk20191322.ch005
 Active Learning in the Large Lecture Hall Format / LaBrake, Cynthia / http://dx.doi.org/10.1021/bk20191322.ch006
 LargeScale, TeamBased Curriculum Transformation and Student Engagement in General Chemistry I and II / Lamont, Liana B., Department of Chemistry, University of WisconsinMadison, 1101 University Avenue, Madison, Wisconsin 53706, United States; Stoll, Lindy K., Department of Chemistry, University of WisconsinMadison, 1101 University Avenue, Madison, Wisconsin 53706, United States; Pesavento, Theresa M., Department of Academic Technology, University of WisconsinMadison, 1305 Linden Drive, Madison, Wisconsin 53706, United States; Bain, Rachel L., Department of Chemistry, University of WisconsinMadison, 1101 University Avenue, Madison, Wisconsin 53706, United States; Landis, Clark R., Department of Chemistry, University of WisconsinMadison, 1101 University Avenue, Madison, Wisconsin 53706, United States; Sibert, Edwin L., Department of Chemistry, University of WisconsinMadison, 1101 University Avenue, Madison, Wisconsin 53706, United States / http://dx.doi.org/10.1021/bk20191322.ch007
 Active Learning in HybridOnline General Chemistry / Miller, Dionne A. / http://dx.doi.org/10.1021/bk20191322.ch008
 A Course Transformation to Support FirstYear Chemistry Education for Engineering Students / Addison, Christopher J.; Núñez, José Rodríguez / http://dx.doi.org/10.1021/bk20191322.ch009
 Flipped Classroom Learning Environments in General Chemistry: What Is the Impact on Student Performance in Organic Chemistry? / Eichler, Jack F., Department of Chemistry, University of California, Riverside, Riverside, California 92521, United States; Peeples, Junelyn, Department of Chemistry, University of California, Riverside, Riverside, California 92521, United States / http://dx.doi.org/10.1021/bk20191322.ch010
 Editors' Biographies / http://dx.doi.org/10.1021/bk20191322.ot001
 Washington, DC : American Chemical Society, 2018.
 Description
 Book — 1 online resource (219 pages) : illustrations.
 Summary

 Trying on Teaching: Transforming STEM Classrooms with a Learning Assistant Program / Schick, Carolyn P. / http://dx.doi.org/10.1021/bk20181280.ch001
 Synergistic Efforts To Support Early STEM Students / Owens, Kalyn S., Chemistry Department, North Seattle College, 9600 College Way N., Seattle, WashingtonA 98103, United States; Murkowski, Ann J., Biology Department, North Seattle College, 9600 College Way N., Seattle, Washington 98103, United States / http://dx.doi.org/10.1021/bk20181280.ch002
 Improving Student Outcomes with Supplemental Instruction / Flaris, Vicki / http://dx.doi.org/10.1021/bk20181280.ch003
 Using Strategic Collaborations To Expand Instrumentation Access at TwoYear Colleges / Stromberg, Christopher J., Department of Chemistry and Physics, Hood College, 401 Rosemont Ave., Frederick, Maryland 21701, United States; Ellis, Debra, Department of Science, Frederick Community College, 7932 Opossumtown Pike, Frederick Maryland 21702, United States; Wood, Perry A. D., Department of Science, Frederick Community College, 7932 Opossumtown Pike, Frederick Maryland 21702, United States; Bennett, Kevin H., Department of Chemistry and Physics, Hood College, 401 Rosemont Ave., Frederick, Maryland 21701, United States; Patterson, Garth E., Department of Science, Mount St. Mary's University, 16300 Old Emmitsburg Road, Emmitsburg, Maryland 21727, United States; Bradley, Christopher, Department of Science, Mount St. Mary's University, 16300 Old Emmitsburg Road, Emmitsburg, Maryland 21727, United States / http://dx.doi.org/10.1021/bk20181280.ch004
 Development of a PreProfessional Program at a Rural Community College / Burchett, Shayna; Hayes, Jack Lee / http://dx.doi.org/10.1021/bk20181280.ch005
 Student Affective State: Implications for Prerequisites and Instruction in Introductory Chemistry Classes / Ross, J.; Lai, C.; Nuñez, L. / http://dx.doi.org/10.1021/bk20181280.ch006
 InClass Worksheets for Student Engagement and Success / Gyanwali, Gaumani / http://dx.doi.org/10.1021/bk20181280.ch007
 A Tool Box Approach for Student Success in Chemistry / Alexander, Janice / http://dx.doi.org/10.1021/bk20181280.ch008
 Identifying, Recruiting, and Motivating Undergraduate Student Researchers at a Community College / Schauer, Douglas J. / http://dx.doi.org/10.1021/bk20181280.ch009
 Honors Modules To Infuse Research into the Chemistry Curriculum / Palmer, Alycia M.; Anna, Laura J. / http://dx.doi.org/10.1021/bk20181280.ch010
 College Students Get Excited about Whiskey: The PseudoAccidental Creation of a Thriving Independent Student Research Program at a TwoYear Community College / Silvestri, Regan / http://dx.doi.org/10.1021/bk20181280.ch011
 What To Know Before You Write Your First NSF Proposal / Higgins, Thomas B. / http://dx.doi.org/10.1021/bk20181280.ch012
 Editors' Biographies / http://dx.doi.org/10.1021/bk20181280.ot001
(source: Nielsen Book Data)
 International Conference of Students and Young Scientists "Prospects of Fundamental Sciences Development" (14th : 2017 : Tomsk, Russia)
 [Melville, New York} : AIP Publishing, 2017.
 Description
 Book — 1 online resource : illustrations (some color). Digital: text file.
 Herman Skolnik Award Symposium (2015 : Boston, Mass.)
 Washington, DC : American Chemical Society, [2016] Distributed in print by Oxford University Press
 Description
 Book — 1 online resource (x, 376 pages) : illustrations (some color)
 Summary

 Frontiers in Molecular Design and Chemical Information Science: Introduction / Bienstock, Rachelle J. / http://dx.doi.org/10.1021/bk20161222.ch001
 Complexity and Heterogeneity of Data for Chemical Information Science / Bajorath, Jürgen / http://dx.doi.org/10.1021/bk20161222.ch002
 Exploring Molecular Promiscuity from a Ligand and Target Perspective / Hu, Ye; Bajorath, Jürgen / http://dx.doi.org/10.1021/bk20161222.ch003
 Network Variants for Analyzing TargetLigand Interactions / Hu, Ye; Bajorath, Jürgen / http://dx.doi.org/10.1021/bk20161222.ch004
 Going Beyond RGroup Tables / Shanmugasundaram, Veerabahu; Zhang, Liying; Poss, Christopher; Milbank, Jared; Starr, Jeremy / http://dx.doi.org/10.1021/bk20161222.ch005
 Molecular Similarity Approaches in Chemoinformatics: Early History and Literature Status / Willett, Peter / http://dx.doi.org/10.1021/bk20161222.ch006
 NonSpecificity of DrugTarget Interactions – Consequences for Drug Discovery / Maggiora, Gerald; Gokhale, Vijay / http://dx.doi.org/10.1021/bk20161222.ch007
 Coping with Complexity in LigandBased De Novo Design / Schneider, Gisbert, Swiss Federal Institute of Technology (ETH), Department of Chemistry and Applied Biosciences, VladimirPrelogWeg 4, CH8093 Zurich, Switzerland; Schneider, Petra, Swiss Federal Institute of Technology (ETH), Department of Chemistry and Applied Biosciences, VladimirPrelogWeg 4, CH8093 Zurich, Switzerland, inSili.com LLC, Segantinisteig 3, CH8049 Zurich, Switzerland / http://dx.doi.org/10.1021/bk20161222.ch008
 Soft Sensors: Chemoinformatic Model for Efficient Control and Operation in Chemical Plants / Kaneko, Hiromasa; Funatsu, Kimito / http://dx.doi.org/10.1021/bk20161222.ch009
 Data Visualization & Clustering: Generative Topographic Mapping Similarity Assessment Allied to Graph Theory Clustering / Escobar, Matheus de Souza; Kaneko, Hiromasa; Funatsu, Kimito / http://dx.doi.org/10.1021/bk20161222.ch010
 Generative Topographic Mapping Approach to Chemical Space Analysis / Gaspar, Héléna A., Laboratoire de Chemoinformatique, UMR 7140, Université de Strasbourg, 1 rue Blaise Pascal, Strasbourg 67000, France; Sidorov, Pavel, Laboratoire de Chemoinformatique, UMR 7140, Université de Strasbourg, 1 rue Blaise Pascal, Strasbourg 67000, France, Laboratory of Chemoinformatics, Butlerov Institute of Chemistry, Kazan Federal University, Kazan, Russia; Horvath, Dragos, Laboratoire de Chemoinformatique, UMR 7140, Université de Strasbourg, 1 rue Blaise Pascal, Strasbourg 67000, France; Baskin, Igor I., Faculty of Physics, M.V. Lomonosov Moscow State University, Leninskie Gory, Moscow 119991, Russia, Laboratory of Chemoinformatics, Butlerov Institute of Chemistry, Kazan Federal University, Kazan, Russia; Marcou, Gilles, Laboratoire de Chemoinformatique, UMR 7140, Université de Strasbourg, 1 rue Blaise Pascal, Strasbourg 67000, France; Varnek, Alexandre, Laboratoire de Chemoinformatique, UMR 7140, Université de Strasbourg, 1 rue Blaise Pascal, Strasbourg 67000, France, Laboratory of Chemoinformatics, Butlerov Institute of Chemistry, Kazan Federal University, Kazan, Russia / http://dx.doi.org/10.1021/bk20161222.ch011
 Visualization of a Multidimensional Descriptor Space / Gaspar, Héléna A., Laboratoire de Chemoinformatique, UMR 7140, Université de Strasbourg, 1 rue Blaise Pascal, Strasbourg 67000, France; Baskin, Igor I., Faculty of Physics, M.V. Lomonosov Moscow State University, Leninskie Gory, Moscow 119991, Russia, Laboratory of Chemoinformatics, Butlerov Institute of Chemistry, Kazan Federal University, Kazan 420008, Russia; Varnek, Alexandre, Laboratoire de Chemoinformatique, UMR 7140, Université de Strasbourg, 1 rue Blaise Pascal, Strasbourg 67000, France / http://dx.doi.org/10.1021/bk20161222.ch012
 The Application of Cheminformatics in the Analysis of HighThroughput Screening Data / Walters, W. Patrick; Aronov, Alexander; Goldman, Brian; McClain, Brian; Perola, Emanuele; Weiss, Jonathan / http://dx.doi.org/10.1021/bk20161222.ch013
 Steps Toward a Virtual Rat: Predictive Absorption, Distribution, Metabolism, and Toxicity Models / Tseng, Yufeng J., Department of Computer Science and Information Engineering, National Taiwan University, No. 1 Sec. 4, Roosevelt Road, Taipei, Taiwan 106, Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, No. 1 Sec. 4, Roosevelt Road, Taipei, Taiwan 106; Su, BoHan, Department of Computer Science and Information Engineering, National Taiwan University, No. 1 Sec. 4, Roosevelt Road, Taipei, Taiwan 106; Hsu, MingTsung, Genome and Systems Biology Degree Program, National Taiwan University and Academia Sinica, No. 1 Sec. 4, Roosevelt Road, Taipei, Taiwan 106; Lin, Olivia A., Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, No. 1 Sec. 4, Roosevelt Road, Taipei, Taiwan 106 / http://dx.doi.org/10.1021/bk20161222.ch014
 How Many Fingers Does a Compound Have? Molecular Similarity beyond Chemical Space / Lounkine, Eugen; Camargo, Miguel L. / http://dx.doi.org/10.1021/bk20161222.ch015
 The Many Facets of Screening Library Design / Boehm, Markus; Zhang, Liying; Bodycombe, Nicole; Maciejewski, Mateusz; Wassermann, Anne Mai / http://dx.doi.org/10.1021/bk20161222.ch016
 Editors’ Biographies / http://dx.doi.org/10.1021/bk20161222.ot001
(source: Nielsen Book Data)
 Herman Skolnik Award Symposium (2015 : Boston, Mass.)
 Washington, DC : American Chemical Society, 2016.
 Description
 Book — 1 online resource (386 pages) : illustrations.
 Summary

 Frontiers in Molecular Design and Chemical Information Science: Introduction / Bienstock, Rachelle J. / http://dx.doi.org/10.1021/bk20161222.ch001
 Complexity and Heterogeneity of Data for Chemical Information Science / Bajorath, Jürgen / http://dx.doi.org/10.1021/bk20161222.ch002
 Exploring Molecular Promiscuity from a Ligand and Target Perspective / Hu, Ye; Bajorath, Jürgen / http://dx.doi.org/10.1021/bk20161222.ch003
 Network Variants for Analyzing TargetLigand Interactions / Hu, Ye; Bajorath, Jürgen / http://dx.doi.org/10.1021/bk20161222.ch004
 Going Beyond RGroup Tables / Shanmugasundaram, Veerabahu; Zhang, Liying; Poss, Christopher; Milbank, Jared; Starr, Jeremy / http://dx.doi.org/10.1021/bk20161222.ch005
 Molecular Similarity Approaches in Chemoinformatics: Early History and Literature Status / Willett, Peter / http://dx.doi.org/10.1021/bk20161222.ch006
 NonSpecificity of DrugTarget Interactions – Consequences for Drug Discovery / Maggiora, Gerald; Gokhale, Vijay / http://dx.doi.org/10.1021/bk20161222.ch007
 Coping with Complexity in LigandBased De Novo Design / Schneider, Gisbert, Swiss Federal Institute of Technology (ETH), Department of Chemistry and Applied Biosciences, VladimirPrelogWeg 4, CH8093 Zurich, Switzerland; Schneider, Petra, Swiss Federal Institute of Technology (ETH), Department of Chemistry and Applied Biosciences, VladimirPrelogWeg 4, CH8093 Zurich, Switzerland, inSili.com LLC, Segantinisteig 3, CH8049 Zurich, Switzerland / http://dx.doi.org/10.1021/bk20161222.ch008
 Soft Sensors: Chemoinformatic Model for Efficient Control and Operation in Chemical Plants / Kaneko, Hiromasa; Funatsu, Kimito / http://dx.doi.org/10.1021/bk20161222.ch009
 Data Visualization & Clustering: Generative Topographic Mapping Similarity Assessment Allied to Graph Theory Clustering / Escobar, Matheus de Souza; Kaneko, Hiromasa; Funatsu, Kimito / http://dx.doi.org/10.1021/bk20161222.ch010
 Generative Topographic Mapping Approach to Chemical Space Analysis / Gaspar, Héléna A., Laboratoire de Chemoinformatique, UMR 7140, Université de Strasbourg, 1 rue Blaise Pascal, Strasbourg 67000, France; Sidorov, Pavel, Laboratoire de Chemoinformatique, UMR 7140, Université de Strasbourg, 1 rue Blaise Pascal, Strasbourg 67000, France, Laboratory of Chemoinformatics, Butlerov Institute of Chemistry, Kazan Federal University, Kazan, Russia; Horvath, Dragos, Laboratoire de Chemoinformatique, UMR 7140, Université de Strasbourg, 1 rue Blaise Pascal, Strasbourg 67000, France; Baskin, Igor I., Faculty of Physics, M.V. Lomonosov Moscow State University, Leninskie Gory, Moscow 119991, Russia, Laboratory of Chemoinformatics, Butlerov Institute of Chemistry, Kazan Federal University, Kazan, Russia; Marcou, Gilles, Laboratoire de Chemoinformatique, UMR 7140, Université de Strasbourg, 1 rue Blaise Pascal, Strasbourg 67000, France; Varnek, Alexandre, Laboratoire de Chemoinformatique, UMR 7140, Université de Strasbourg, 1 rue Blaise Pascal, Strasbourg 67000, France, Laboratory of Chemoinformatics, Butlerov Institute of Chemistry, Kazan Federal University, Kazan, Russia / http://dx.doi.org/10.1021/bk20161222.ch011
 Visualization of a Multidimensional Descriptor Space / Gaspar, Héléna A., Laboratoire de Chemoinformatique, UMR 7140, Université de Strasbourg, 1 rue Blaise Pascal, Strasbourg 67000, France; Baskin, Igor I., Faculty of Physics, M.V. Lomonosov Moscow State University, Leninskie Gory, Moscow 119991, Russia, Laboratory of Chemoinformatics, Butlerov Institute of Chemistry, Kazan Federal University, Kazan 420008, Russia; Varnek, Alexandre, Laboratoire de Chemoinformatique, UMR 7140, Université de Strasbourg, 1 rue Blaise Pascal, Strasbourg 67000, France / http://dx.doi.org/10.1021/bk20161222.ch012
 The Application of Cheminformatics in the Analysis of HighThroughput Screening Data / Walters, W. Patrick; Aronov, Alexander; Goldman, Brian; McClain, Brian; Perola, Emanuele; Weiss, Jonathan / http://dx.doi.org/10.1021/bk20161222.ch013
 Steps Toward a Virtual Rat: Predictive Absorption, Distribution, Metabolism, and Toxicity Models / Tseng, Yufeng J., Department of Computer Science and Information Engineering, National Taiwan University, No. 1 Sec. 4, Roosevelt Road, Taipei, Taiwan 106, Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, No. 1 Sec. 4, Roosevelt Road, Taipei, Taiwan 106; Su, BoHan, Department of Computer Science and Information Engineering, National Taiwan University, No. 1 Sec. 4, Roosevelt Road, Taipei, Taiwan 106; Hsu, MingTsung, Genome and Systems Biology Degree Program, National Taiwan University and Academia Sinica, No. 1 Sec. 4, Roosevelt Road, Taipei, Taiwan 106; Lin, Olivia A., Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, No. 1 Sec. 4, Roosevelt Road, Taipei, Taiwan 106 / http://dx.doi.org/10.1021/bk20161222.ch014
 How Many Fingers Does a Compound Have? Molecular Similarity beyond Chemical Space / Lounkine, Eugen; Camargo, Miguel L. / http://dx.doi.org/10.1021/bk20161222.ch015
 The Many Facets of Screening Library Design / Boehm, Markus; Zhang, Liying; Bodycombe, Nicole; Maciejewski, Mateusz; Wassermann, Anne Mai / http://dx.doi.org/10.1021/bk20161222.ch016
 Editors’ Biographies / http://dx.doi.org/10.1021/bk20161222.ot001
(source: Nielsen Book Data)
 Washington, D.C. : United States. Dept. of Energy. Office of Science ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2014
 Description
 Book — 1 online resource (39 p. ) : digital, PDF file.
 Summary

Scientists from the around the world converged in Knoxville, TN to have share ideas, present technical information and contribute to the advancement of neutron scattering. Featuring over 400 oral/poster presentations, ACNS 2014 offered a strong program of plenary, invited and contributed talks and poster sessions covering topics in soft condensed matter, hard condensed matter, biology, chemistry, energy and engineering applications in neutron physics – confirming the great diversity of science that is enabled by neutron scattering.
 Online
 Blinder, S. M.
 2nd ed.  London : Elsevier, 2013.
 Description
 Book — 1 online resource (viii, 269 pages :) : illustrations (some color).
 Summary

 1 Mathematical Thinking
 2. Numbers 3 Algebra 4 Trigonometry 5 Analytic Geometry 6 Calculus 7 Series and Integrals 8 Differential Equations 9 Matrix Algebra 10 Multivariable Calculus 11 Vector Analysis 12 Special Functions 13 Complex Variables.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Ashar, Navin G., author.
 Cham : Springer, 2013.
 Description
 Book — 1 online resource (xiii, 146 pages) : illustrations (some color) Digital: text file; PDF.
 Summary

 Current Status of Manufacture of Sulfuric Acid. Sulfuric Acid Plant with CoGeneration of Power. Sulphonating Agents and Derivatives based on Sulfuric Acid. Innovations / Modifications in Technology. Equipments Required for the Manufacture of Sulfuric Acid, Oleums and Liquid Sulphur Trioxide. Materials of Construction of Main Equipments. Safety Precautions. Economic Considerations. Future Developments.
 Cold Process of Manufacturing Sulfuric Acid and Sulphonating Agents Patented by NEAT. Storage, Handling and Properties of Sulphur, Sulfuric Acid, oleum and Liquid Sulphur Trioxide.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
13. Processes [2013 ]
 Processes (Basel, Switzerland)
 Basel, Switzerland : MDPI AG
 Description
 Journal/Periodical — 1 online resource
 Wei, Huibin.
 Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint : Springer, 2013.
 Description
 Book — 1 online resource Digital: text file; PDF.
 Summary

 Introduction. Analysis of Herbicides on a Single C30 Bead via the Platform Combined Microfluidic Device with ESIQTOFMS. Monitoring of Glutamate Release from Neuronal Cell Based on the Analysis Platform Combining the Microfluidic Devices with ESIQTOFMS. Microfluidic Device with Integrated Porous Membrane for Cell Sorting and Separation. Cell Coculture and Signaling Analysis Based on Microfluidic Devices Coupling with ESIQTOFMS.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Weinheim : WileyVCH, c2012.
 Description
 Book — 1 online resource (xvii, 360 p.) : ill.
 Summary

 Preface XIII List of Contributors XV
 1 Characterization of Nanocomposite Materials: An Overview
 1 Vikas Mittal 1.1 Introduction
 1 1.2 Characterization of Morphology and Properties
 2 1.3 Examples of Characterization Techniques
 5 References
 12
 2 Thermal Characterization of Fillers and Polymer Nanocomposites
 13 Vikas Mittal 2.1 Introduction
 13 2.2 TGA of Fillers
 13 2.3 TGA of Polymer Nanocomposites
 23 2.4 DSC of Fillers
 25 2.5 DSC of Composites
 26
 3 FlameRetardancy Characterization of Polymer Nanocomposites
 33 Joseph H. Koo, Si Chon Lao, and Jason C. Lee 3.1 Introduction
 33 3.2 Types of FlameRetardant Nanoadditives
 33 3.3 Thermal, Flammability, and Smoke Characterization Techniques
 42 3.4 Thermal and Flame Retardancy of Polymer Nanocomposites
 46 3.5 Flame Retardant Mechanisms of Polymer Nanocomposites
 66 3.6 Concluding Remarks and Trends of Polymer Nanocomposites
 68 Acknowledgments
 69 References
 69
 4 PVT Characterization of Polymeric Nanocomposites
 75 Leszek A. Utracki 4.1 Introduction
 75 4.2 Components of Polymeric Nanocomposites
 76 4.3 PressureVolumeTemperature ( PVT ) Measurements
 79 4.4 Derivatives, Compressibility, and Thermal Expansion Coeffi cient
 83 4.5 Thermodynamic Theories
 89 4.6 Thermodynamic Interaction Coefficients
 100 4.7 Theoretical Predictions
 105 4.8 Summary and Conclusions
 106 References
 109
 5 Following the Nanocomposites Synthesis by Raman Spectroscopy and XRay Photoelectron Spectroscopy (XPS)
 115 Sorina Alexandra Garea and Horia Iovu 5.1 Nanocomposites Based on POSS and Polymer Matrix
 115 5.2 Raman and XPS Applied in Synthesis of Nanocomposites Based on Carbon Nanotubes and Polymers
 129 Acknowledgments
 138 References
 138
 6 Tribological Characterization of Polymer Nanocomposites
 143 Markus Englert and Alois K. Schlarb 6.1 Introduction
 143 6.2 Tribological Fundamentals
 144 6.3 Wear Experiments
 149 6.4 Selection Criteria
 152 6.5 Design of Polymer Nanocomposites and Multiscale Composites
 153 6.6 Selected Experimental Results
 153 References
 165
 7 Dielectric Relaxation Spectroscopy for Polymer Nanocomposites
 167 Chetan Chanmal and Jyoti Jog 7.1 Introduction
 167 7.2 Theory of Dielectric Relaxation Spectroscopy
 168 7.3 PVDF/Clay Nanocomposites
 171 7.4 PVDF/BaTiO3 Nanocomposites
 175 7.5 PVDF/Fe3O4 Nanocomposites
 177 7.6 Comparative Analysis of PVDF Nanocomposites
 181 7.7 Conclusions
 182 Acknowledgment
 182 Nomenclature
 182 References
 183
 8 AFM Characterization of Polymer Nanocomposites
 185 Ken Nakajima, Dong Wang, and Toshio Nishi 8.1 Atomic Force Microscope (AFM)
 185 8.2 Elasticity Measured by AFM
 193 8.3 Example Studies
 201 8.4 Conclusion
 225 References
 225
 9 Electron Paramagnetic Resonance and SolidState NMR Studies of the Surfactant Interphase in PolymerClay Nanocomposites
 229 Gunnar Jeschke 9.1 Introduction
 229 9.2 NMR, EPR, and Spin Labeling Techniques
 230 9.3 Characterization of Organically Modified Layered Silicates
 237 9.4 Characterization of Nanocomposites
 242 9.5 Conclusion
 247 Acknowledgments
 248 References
 248
 10 Characterization of Rheological Properties of Polymer Nanocomposites
 251 Mo Song and Jie Jin 10.1 Introduction
 251 10.2 Fundamental Rheological Theory for Studying Polymer Nanocomposites
 252 10.3 Characterization of Rheological Properties of Polymer Nanocomposites
 257 10.4 Conclusions
 279 References
 280
 11 Segmental Dynamics of Polymers in Polymer/Clay Nanocomposites Studied by SpinLabeling ESR
 283 Yohei Miwa, Shulamith Schlick, and Andrew R. Drews 11.1 Introduction
 283 11.2 Spin Labeling: Basic Principles
 284 11.3 Exfoliated Poly(methyl acrylate) (PMA)/Clay Nanocomposites
 286 11.4 Intercalated Poly(ethylene oxide) (PEO)/Clay Nanocomposites
 293 11.5 Conclusions
 300 Acknowledgments
 301 References
 301
 12 Characterization of Polymer Nanocomposite Colloids by Sedimentation Analysis
 303 Vikas Mittal 12.1 Introduction
 303 12.2 Materials and Experimental Methods
 305 12.3 Results and Discussion
 307 12.4 Conclusions
 319 Acknowledgments
 320 References
 320
 13 Biodegradability Characterization of Polymer Nanocomposites
 323 Katherine M. Dean, Parveen Sangwan, Cameron Way, and Melissa A.L. Nikolic 13.1 Introduction
 323 13.2 Methods of Measuring Biodegradation
 323 13.3 Standards for Biodegradation
 331 13.4 Biodegradable Nanocomposites
 331 13.5 Starch Nanocomposites
 336 13.6 PCL Nanocomposites
 337 13.7 PHA/PHB Nanocomposites
 339 13.8 Nanocomposites of PetrochemicalBased Polymer
 342 13.9 Conclusions
 343 References
 343 Index 347.
 (source: Nielsen Book Data)
 CHARACTERIZATION OF NANOCOMPOSITE MATERIALS: AN OVERVIEW Introduction Characterization of Morphology and Properties Examples of Characterization Techniques THERMAL CHARACTERIZATION OF FILLERS AND POLYMER NANOCOMPOSITES Introduction TGA of Fillers TGA of Polymer Nanocomposites DSC of Fillers DSC of Composites FLAME RETARDANDY CHARACTERIZATION OF POLYMER NANOCOMPOSITES Introduction Types of Flame Retardant Nanoadditives Thermal, Flammability, and Smoke Characterization Techniques Thermal and Flame Retardancy of Polymer Nanocomposites PVT CHARACTERIZATION OF POLYMERIC NANOCOMPOSITES Introduction Components of Polymeric Nanocomposites PressureVolumeTemperature (PVT) Measurements Derivatives
 Compressibility and Thermal Expansion Coefficient Thermodynamic Theories Thermodynamic Interaction Coefficients Theoretical Predictions Summary and Conclusions FOLLOWING THE NANOCOMPOSITES SYNTHESIS BY RAMAN SPECTROSCOPY AND XRAY PHOTOELECTRON SPECTROSCOPY (XPS) Nanocomposites Based on POSS and Polymer Matrix Raman and XPS Applied in Synthesis of Nanocomposites Based on Carbon Nanotubes and Polymers TRIBOLOGICAL CHARACTERIZATION OF POLYMER NANOCOMPOSITES Introduction Tribological Fundamentals Wear Experiments Selection Criteria Design of Polymer Nanocomposites and MultiscaleComposites Selected Experimental Results DIELECTRIC RELAXATION SPECTROSCOPY FOR POLYMER NANOCOMPOSITES Introduction Theory of Dielectric Relaxation Spectroscopy PVDF/Clay Nanocomposites PVDF/BaTiO3 Nanocomposites PVDF/Fe3O4 Nanocomposites Comparative Analysis of PVDF Nanocomposites Conclusions AFM CHARACTERIZATION OF POLMYER NANOCOMPOSITES Atomic Force Microscope (AFM) Elasticity Measured by AFM Example Studies Conclusion ELECTRON PARAMAGNETIC RESONANCE AND SOLIDSTATE NMR STUDIES OF THE SURFACTANT INTERPHASE IN POLYMERCLAY NANOCOMPOSITES Introduction NMR, EPR and Spin Labeling Techniques Characterization of Organically Modified Layered Silicates Characterization of Nanocomposites Conclusion CHARACTERIZATION OF RHEOLOGICAL PROPERTIES OF POLYMER NANOCOMPOSITES Introduction Fundamental Rheological Theory for Studying Polymer Nanocomposites Characterization of Rheological Properties of Polymer Nanocomposites Conclusions SEGMENTAL DYNAMICS OF POLYMERS IN POLYMER/CLAY NANOCOMPOSITES STUDIED BY SPINLABELING ESR Introduction SpinLabeling: Basic Principles Exfoliated Poly(methyl acrylate) (PMA)/Clay Nanocomposites Intercalated Poly(ethylene oxide) (PEO)/Clay Nanocomposites Conclusions CHARACTERIZATION OF POLYMER NANOCOMPOSITE COLLOIDS BY SEDIMENTATION ANALYSIS Introduction Materials and Experimental Methods Results and Discussion Conclusions BIODEGRADABILITY CHARACTERIZATION OF POLYMER NANOCOMPOSITES Introduction Methods of Measuring Biodegradation Standards for Biodegradation Biodegradable Nanocomposites Starch Nanocomposites PCL Nanocomposites PHA/PHB Nanocomposites Nanocomposites of Petrochemical Based Polymer Conclusions.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Los Alamos, N.M. : Los Alamos National Laboratory ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2012
 Description
 Book — 1 online resource.
 Summary

The Plutonium Science and Manufacturing Directorate provides worldclass, safe, secure, and reliable special nuclear material research, process development, technology demonstration, and manufacturing capabilities that support the nation's defense, energy, and environmental needs. We safely and efficiently process plutonium, uranium, and other actinide materials to meet national program requirements, while expanding the scientific and engineering basis of nuclear weaponsbased manufacturing, and while producing the next generation of nuclear engineers and scientists. Actinide Process Chemistry (NCO2) safely and efficiently processes plutonium and other actinide compounds to meet the nation's nuclear defense program needs. All of our processing activities are done in a world class and highly regulated nuclear facility. NCO2's plutonium processing activities consist of direct oxide reduction, metal chlorination, americium extraction, and electrorefining. In addition, NCO2 uses hydrochloric and nitric acid dissolutions for both plutonium processing and reduction of hazardous components in the waste streams. Finally, NCO2 is a key team member in the processing of plutonium oxide from disassembled pits and the subsequent stabilization of plutonium oxide for safe and stable longterm storage.
 Online
 Washington, D.C. : United States. Dept. of Energy. ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2012
 Description
 Book — PDFfile: 338 pages; size: 115.3 Mbytes
 Summary

A premier appliedscience laboratory, Lawrence Livermore National Laboratory (LLNL) has earned the reputation as a leader in providing science and technology solutions to the most pressing national and global security problems. The LDRD Program, established by Congress at all DOE national laboratories in 1991, is LLNL's most important single resource for fostering excellent science and technology for today's needs and tomorrow's challenges. The LDRD internally directed research and development funding at LLNL enables highrisk, potentially highpayoff projects at the forefront of science and technology. The LDRD Program at Livermore serves to: (1) Support the Laboratory's missions, strategic plan, and foundational science; (2) Maintain the Laboratory's science and technology vitality; (3) Promote recruiting and retention; (4) Pursue collaborations; (5) Generate intellectual property; and (6) Strengthen the U.S. economy. Myriad LDRD projects over the years have made important contributions to every facet of the Laboratory's mission and strategic plan, including its commitment to nuclear, global, and energy and environmental security, as well as cuttingedge science and technology and engineering in highenergydensity matter, highperformance computing and simulation, materials and chemistry at the extremes, information systems, measurements and experimental science, and energy manipulation. A summary of each project was submitted by the principal investigator. Project summaries include the scope, motivation, goals, relevance to DOE/NNSA and LLNL mission areas, the technical progress achieved in FY11, and a list of publications that resulted from the research. The projects are: (1) Nuclear Threat Reduction; (2) Biosecurity; (3) HighPerformance Computing and Simulation; (4) Intelligence; (5) Cybersecurity; (6) Energy Security; (7) Carbon Capture; (8) Material Properties, Theory, and Design; (9) Radiochemistry; (10) HighEnergyDensity Science; (11) Laser InertialFusion Energy; (12) Advanced Laser Optical Systems and Applications; (12) Space Security; (13) Stockpile Stewardship Science; (14) National Security; (15) Alternative Energy; and (16) Climatic Change.
 Online
 Hoboken : John Wiley & Sons, 2012.
 Description
 Book — 1 online resource.
 Summary

 Front Matter
 Containerless Undercooling of Drops and Droplets / Dieter M Herlach
 ComputerAided Experiments in Containerless Processing of Materials / Robert W Hyers
 Demixing of Cu₆Co Alloys Showing a Metastable Miscibility Gap / Matthias Kolbe
 ShortRange Order in Undercooled Melts / Dirk HollandMoritz
 Ordering and Crystal Nucleation in Undercooled Melts / Kenneth F Kelton, A Lindsay Greer
 PhaseField Crystal Modeling of Homogeneous and Heterogeneous Crystal Nucleation / Gyula I T̤th, Tam̀s Pusztai, Gy̲rgy Tegze, L̀szl̤ Gr̀ǹsy
 Effects of Transient Heat and Mass Transfer on Competitive Nucleation and Phase Selection in Drop Tube Processing of Multicomponent Alloys / M Krivilyov, Jan Fransaer
 Containerless Solidification of Magnetic Materials Using the ISAS/JAXA 26Meter Drop Tube / Shumpei Ozawa
 Nucleation and Solidification Kinetics of Metastable Phases in Undercooled Melts / Wolfgang L̲ser, Olga Shuleshova
 Nucleation Within the Mushy Zone / Douglas M Matson
 Measurements of Crystal Growth Velocities in Undercooled Melts of Metals / Thomas Volkmann
 Containerless Crystallization of Semiconductors / Kazuhiko Kuribayashi
 Measurements of Crystal Growth Dynamics in GlassFluxed Melts / Jianrong Gao, Zongning Zhang, Yikun Zhang, Chao Yang
 Influence of Convection on Dendrite Growth by the AC + DC Levitation Technique / Hideyuki Yasuda
 Modeling the Fluid Dynamics and Dendritic Solidification in EMLevitated Alloy Melts / Valdis Bojarevics, Andrew Kao, Koulis Pericleous
 Forced Flow Effect on Dendritic Growth Kinetics in a Binary Nonisothermal System / P K Galenko, S Binder, G J Ehlen
 Atomistic Simulations of Solute Trapping and Solute Drag / J J Hoyt, M Asta, A Karma
 ParticleBased Computer Simulation of Crystal Nucleation and Growth Kinetics in Undercooled Melts / Roberto E Rozas, Philipp Kuhn, Jurgen Horbach
 Solidification Modeling: From Electromagnetic Levitation to Atomization Processing / ChA Gandin, D Tourret, T Volkmann, D M Herlach, A Ilbagi, H Henein
 Properties of pSiGe Thermoelectrical Material Solidified from Undercooled Melt Levitated by Simultaneous Imposition of Static and Alternating Magnetic Fields / Takeshi Okutani, Tsuyoshi Hamada, Yuko Inatomi, Hideaki Nagai
 Quantitative Analysis of Alloy Structures Solidified Under Limited Diffusion Conditions / Hani Henein, Arash Ilbagi, CharlesAndř Gandin
 Coupled Growth Structures in Univariant and Invariant Eutectic Solidification / Ralph E Napolitano
 Solidification of Peritectic Alloys / Krishanu Biswas, Sumanta Samal
 Index.
19. Arabian journal for science and engineering [2011 ]
 Heidelberg : Springer, 2011
 Description
 Journal/Periodical — 1 online resource
 Summary

AJSE publishes eight issues of rigorous and original contributions in the Engineering (AJSEEngineering), in Mathematics (AJSEMathematics), and in Science (AJSEScience) disciplines, and along with a Theme / Special Issue on specific topics, previously published as separate volumes.
 Washington, D.C. : United States. Office of the Assistant Secretary for Nuclear Energy ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2011
 Description
 Book
 Summary

This paper focuses on characterization of several coolant performances in the IHTL. There are lots of choices available for the IHTL coolants; gases, liquid metals, molten salts, and etc. Traditionally, the selection of coolants is highly dependent on engineer's experience and decisions. In this decision, the following parameters are generally considered: melting point, vapor pressure, density, thermal conductivity, heat capacity, viscosity, and coolant chemistry. The followings are general thermalhydraulic requirements for the coolant in the IHTL: (1) High heat transfer performance  The IHTL coolant should exhibit high heat transfer performance to achieve high efficiency and economics; (2) Low pumping power  The IHTL coolant requires low pumping power to improve economics through less stringent pump requirements; (3) Low amount of coolant volume  The IHTL coolant requires less coolant volume for better economics; (4) Low amount of structural materials  The IHTL coolant requires less structural material volume for better economics; (5) Low heat loss  The IHTL requires less heat loss for high efficiency; and (6) Low temperature drop  The IHTL should allow less temperature drop for high efficiency. Typically, heat transfer coolants are selected based on various fluid properties such as melting point, vapor pressure, density, thermal conductivity, heat capacity, viscosity, and coolant chemistry. However, the selection process & results are highly dependent on the engineer's personal experience and skills. In the coolant selection, if a certain coolant shows superior properties with respect to the others, the decision will be very straightforward. However, generally, each coolant material exhibits good characteristics for some properties but poor for the others. Therefore, it will be very useful to have some figures of merits (FOMs), which can represent and quantify various coolant thermal performances in the system of interest. The study summarized in this paper focuses on developing general FOMs for the IHTL coolant selection and shows some estimation results.
 Online
 Washington, D.C. : United States. Dept. of Energy. ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2011
 Description
 Book — PDFfile: 7 pages; size: 0.9 Mbytes
 Summary

Conventional petroleum jet and diesel fuels, as well as alternative FischerTropsch (FT) fuels and hydrotreated renewable jet (HRJ) fuels, contain high molecular weight lightly branched alkanes (i.e., methylalkanes) and straight chain alkanes (nalkanes). Improving the combustion of these fuels in practical applications requires a fundamental understanding of large hydrocarbon combustion chemistry. This research project presents a detailed high temperature chemical kinetic mechanism for noctane and three lightly branched isomers octane (i.e., 2methylheptane, 3methylheptane, and 2,5dimethylhexane). The model is validated against experimental data from a variety of fundamental combustion devices. This new model is used to show how the location and number of methyl branches affects fuel reactivity including laminar flame speed and species formation.
 Online
 Washington, D.C. : United States. Dept. of Energy. ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2011
 Description
 Book — 1 online resource.
 Summary

Using density functional theory calculations we show that the adsorption energies for C₂Hₓtype adsorbates on transition metal surfaces scale with each other according to a simple bond order conservation model. This observation generalizes some recently recognized adsorption energy scaling laws for AHₓtype adsorbates to unsaturated hydrocarbons and establishes a coherent simplified description of saturated as well as unsaturated hydrocarbons adsorbed on transition metal surfaces. A number of potential applications are discussed. We apply the model to the dehydrogenation of ethane over pure transition metal catalysts. Comparison with the corresponding full density functional theory calculations shows excellent agreement.
 Online
 Washington, D.C. : United States. Dept. of Energy. Office of Science ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2010
 Description
 Book — 1 online resource (17 p.) : digital, PDF file.
 Summary

The field of plasmonics lies at the forefront of current revolutionary developments in optics at nanoscale dimensions, with broad applications in the fields of biology, chemistry, and engineering. Advancing these applications will require an enhanced focus on the fundamental science of plasmonics in new and exotic regimes. This 2010 Gordon Conference on Plasmonics will focus on recent advances in fundamental and applied plasmonics. As with past conferences, this meeting will bring together top researchers and future leaders for substantial interactions between students, young speakers, and senior figures in the field. Participants should expect lively discussion during the sessions, intermingled with unstructured time where ideas move, collaborations form, and connections are made. Invited talks will cover a diverse range of topics, including active devices, coherence effects, metamaterials and cloaking, quantum optical phenomena, and plasmons in exotic media and in new wavelength regimes. At the conclusion of the conference, our final session will look forward and begin defining upcoming challenges and opportunities for plasmonics.
 Online
 Washington, D.C. : United States. Office of the Assistant Secretary for Nuclear Energy ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2010
 Description
 Book
 Summary

The main focus of this paper is to identify the most desirable ranges of impurity levels in the primary coolant to optimize component life in the primary circuit of the Next Generation Nuclear Plant (NGNP), which will either be a prismatic block or pebble bed reactor.
 Online
 Nussinovitch, A.
 New York : Springer, ©2010.
 Description
 Book — 1 online resource (xxv, 303 pages) : illustrations Digital: text file.PDF.
 Summary

 Note continued: 4.6. Milk Industry
 4.6.1. Immobilization in the Milk Industry
 4.6.2. Hydrolysis of Lactose in Milk
 4.6.3. Antibiotic Residues in Milk
 4.7. Miscellaneous Flavor Materials and Aroma Compounds
 4.7.1. Biotransformation from Geraniol to Nerol
 4.7.2. Limonin
 4.7.3. & beta; Ionone
 4.7.4. Naringin
 4.7.5. Methyl Ketone (Blue Cheese Flavor) as a Flavor Molecule from Higher Fungi
 4.7.6. Capsaicin
 4.7.7. Vanillin
 4.7.8. Japanese Seasoning
 4.8. Miscellaneous Applications
 4.8.1. Production of Oligosaccharides
 4.8.2. Preservatives and Bacteriocins
 4.8.3. Xylitol Production
 4.8.4. Carotenoids and Leucrose
 4.8.5. cis, cisMuconic Acid (MA)
 4.9. Various Industrial Options
 4.9.1. Fuel Ethanol Production
 4.9.2. Application of Gels for Separation Matrices
 4.9.3. Bioartificial Organs
 4.9.4. Insect Cell Immobilization
 References
 5. Medicinal Applications of Hydrocolloid Beads
 5.1. Introduction
 5.2. Encapsulation of Cells in Hydrogels
 5.3. Stem Cells in Bead Environments
 5.4. Charged Hydrogel Beads as New Microcarriers for Cell Culture
 5.5. Potential Support for Endothelial Cells
 5.6. Vaccine Delivery
 5.7. Crosslinked Chitosan Beads: Different Medicinal Functions
 5.8. Mucoadhesive Beads and Their Applications
 5.8.1. General
 5.8.2. Eyes
 5.8.3. Alimentary System
 5.9. Polyelectrolyte Complexes
 5.10. Soft Tissue Regeneration
 References
 6. Dry Bead Formation, Structure, Properties, and Applications
 6.1. Introduction
 6.2. General Properties of Cellular Solids
 6.3. Manufacturing Methods for Hydrocolloid Cellular Solids
 6.3.1. Drying BicarbonateContaining Gels After Acid Diffusion
 6.3.2. Cellular Solids Produced by Fermentation
 6.3.3. Enzymatically Produced Cellular Solids.
 Note continued: 6.3.4. Inclusion of Oil in Cellular Solids
 6.3.5. Porosity Control in Cellular Solids
 6.4. Structure of Cellular Solids
 6.5. Mechanical Properties of Cellular Solids
 6.5.1. Compression of Cellular Solids
 6.5.2. Models for Describing StressStrain Behavior
 6.5.3. Elastic Properties of Cellular Materials
 6.5.4. Layered Cellular Solids and Compressibility of Cellular Particulates
 6.5.5. Acoustic Properties of Cellular Solids
 6.6. Applications of Cellular Solids
 6.6.1. Hydrocolloid Cellular Solids as a Carrier for Vitamins
 6.6.2. Dried Gel Beads as Study Models and for Separation
 6.6.3. Special Dry Beads for Water Treatment
 6.6.4. Matrices Entrapping Hydrocolloid Cellular Beads
 6.7. Hydrocolloid Cellular Carriers for Agricultural Uses
 6.7.1. General
 6.7.2. Preservation of Biocontrol Agents in a Viable Form by Dry Cellular Bead Carriers
 6.7.3. Dry Carriers' Capacity to Protect Biocontrol Agents Against UV Light
 6.7.4. Textural Features of Dried Hydrocolloid Beads
 References
 7. LiquidCore Beads and Their Applications in Food, Biotechnology, and Other Fields
 7.1. Introduction
 7.2. General
 7.3. Soft Gelatin Capsules
 7.4. LiquidCore Capsules
 7.4.1. LiquidCore Hydrocolloid Capsules
 7.4.2. Synthetic and Additional LiquidCore Capsules
 7.5. OilCore Hydrocolloid Capsules
 7.6. Biotechnological Applications of LiquidCore Capsules
 7.6.1. Growth of Microorganisms in LiquidCore Capsules
 7.6.2. Activity of Enzymes Within LiquidCore Capsules
 7.7. Special Food Applications
 7.7.1. JellyLike Foods
 7.7.2. Fruit Products
 7.7.3. Encapsulating Aroma and Health Compounds
 7.7.4. Other Foods
 7.8. Agricultural Uses of LiquidCore Capsules
 7.9. Environmental Uses of LiquidCore Capsules.
 Note continued: 7.10. Special Applications of LiquidCore Capsules
 7.10.1. StopSmoking Aids
 7.10.2. Beauty Industry  Removal of Body Hair
 7.10.3. Paper Industry
 References
 8. Beads as Drug Carriers
 8.1. Introduction
 8.2. Controlled Drug Release
 8.3. Gels in DrugDelivery Systems
 8.4. Dual DrugLoaded Beads
 8.5. Drug Release from Beads
 8.5.1. Albumin Beads
 8.5.2. Alginate Beads
 8.5.3. Chitosan Beads
 8.5.4. Gelatin
 8.5.5. Modified Starch Microspheres
 8.5.6. Dextran Beads
 8.5.7. Cellulose Hydrogels
 8.5.8. Gellan Beads
 8.5.9. Guar Beads
 8.5.10. Pectin
 8.5.11. Modified Poly(Vinyl Alcohol) Microspheres
 8.5.12. Biodegradable Hydrogels Based on Polyesters
 8.5.13. Hydrogels with Degradable Crosslinking Agents
 8.5.14. Floating Beads
 8.5.15. Xyloglucan Beads
 References
 9. Beads and Special Applications of Polymers for Agricultural Uses
 9.1. Introduction
 9.2. Immobilization of Plant Cell Suspensions and Single Seeds
 9.3. Carriers for Slow Release of Bacteria that Affect Plant Growth
 9.4. Inoculation of Seedlings and Plants with Beads Containing Fungal Inoculum
 9.5. Joint Immobilization of Plant GrowthPromoting Bacteria and Green Microalgae
 9.6. Cryopreservation by Encapsulation/Dehydration Technique
 9.7. Controlled Release of Agricultural Chemicals
 9.8. Biotechnological Applications
 9.8.1. General
 9.8.2. GeneDelivery Systems Using Beads
 9.8.3. Bioactive Bead Method for Obtaining Transgenic Plants
 9.8.4. Synthetic Seed Technology
 9.9. Unique Applications of Polymers
 9.9.1. Superabsorbent Polymers
 9.9.2. Seed Coating
 References
 10. Beads for Environmental Applications
 10.1. Introduction
 10.2. Water Treatments
 10.2.1. General.
 Note continued: 10.2.2. Wastewater Treatment by Anaerobic Fixed Bed Reactor
 10.2.3. Wastewater Treatment Using Immobilized Microorganisms
 10.2.4. Arsenic Removal from Water
 10.2.5. Chitosan and Removal of Heavy Metal Ions
 10.2.6. Water Denitrification
 10.2.7. Anaerobic Ammonium Oxidation
 10.3. Soil Treatments
 10.3.1. General
 10.3.2. Agrochemicals
 10.3.3. Controlled Release of Pesticides into Soils
 10.3.4. Sustained Release of a Fungicide
 10.4. Air Pollution
 10.4.1. General
 10.4.2. Sampling Air
 10.4.3. Determination of Trace Contaminants in Air by Concentration on Porous Polymer Beads
 10.5. Miscellaneous
 10.5.1. Biodegradation
 10.5.2. Carbon Nanotubes
 10.5.3. Removal by Microalgae
 References.
 Washington, D.C. : United States. Dept. of Energy ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2010
 Description
 Book — 1 online resource.
 Summary

In the United States, the Department of Energy (DOE) is transforming its outdated and oversized complex of aging nuclear material facilities into a smaller, safer, and more secure National Security Enterprise (NSE). Environmental concerns, worker health and safety risks, material security, reducing the role of nuclear weapons in our national security strategy while maintaining the capability for an effective nuclear deterrence by the United States, are influencing this transformation. As part of the nation's Uranium Center of Excellence (UCE), the Uranium Processing Facility (UPF) at the Y12 National Security Complex in Oak Ridge, Tennessee, will advance the U.S.'s capability to meet all concerns when processing uranium and is located adjacent to the Highly Enriched Uranium Materials Facility (HEUMF), designed for consolidated storage of enriched uranium. The HEUMF became operational in March 2010, and the UPF is currently entering its final design phase. The designs of both facilities are for meeting anticipated security challenges for the 21st century. For plutonium research, development, and manufacturing, the Chemistry and Metallurgy Research Replacement (CMRR) building at the Los Alamos National Laboratory (LANL) in Los Alamos, New Mexico is now under construction. The first phase of the CMRR Project is the design and construction of a Radiological Laboratory/Utility/Office Building. The second phase consists of the design and construction of the Nuclear Facility (NF). The National Nuclear Security Administration (NNSA) selected these two sites as part of the national plan to consolidate nuclear materials, provide for nuclear deterrence, and nonproliferation mission requirements. This work examines these two projects independent approaches to design requirements, and objectives for safeguards, security, and safety (3S) systems as well as the subsequent construction of these modern processing facilities. Emphasis is on the use of SafeguardsbyDesign (SBD), incorporating Systems Engineering (SE) principles for these two projects.
 Online
 Washington, D.C. : United States. Office of the Assistant Secretary for Nuclear Energy ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2010
 Description
 Book
 Summary

The Engineering Analysis work package accomplished a number of activities in FY2010 that will help to inform Licensing, R&D, and detailed design activities that will be performed during the preliminary design phase in Phase 2 of the NGNP Project. These activities were in the following areas: • Fission Product Transport • DDN Update and Consolidation • Gas Reactor Lessons Learned Review • Reactor Coolant Chemistry Control • Resilient Control Systems for High Temperature Gascooled Reactors • Wateringress Analysis In total, the efforts associated with the Engineering Analysis work package accomplished four (4) Level 2 milestones and two (2) internal (Level 4) milestones. Details of the activities and milestones are included in the attached report.
 Online
28. Engineered Nanomaterials, Sexy New Technology and Potential Hazards [electronic resource]. [2009]
 Washington, D.C. : United States. Dept. of Energy. ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2009
 Description
 Book — PDFfile: 14 pages; size: 1.3 Mbytes
 Summary

Engineered nanomaterials enhance exciting new applications that can greatly benefit society in areas of cancer treatments, solar energy, energy storage, and water purification. While nanotechnology shows incredible promise in these and other areas by exploiting nanomaterials unique properties, these same properties can potentially cause adverse health effects to workers who may be exposed during work. Dispersed nanoparticles in air can cause adverse health effects to animals not merely due to their chemical properties but due to their size, structure, shape, surface chemistry, solubility, carcinogenicity, reproductive toxicity, mutagenicity, dermal toxicity, and parent material toxicity. Nanoparticles have a greater likelihood of lung deposition and blood absorption than larger particles due to their size. Nanomaterials can also pose physical hazards due to their unusually high reactivity, which makes them useful as catalysts, but has the potential to cause fires and explosions. Characterization of the hazards (and potential for exposures) associated with nanomaterial development and incorporation in other products is an essential step in the development of nanotechnologies. Developing controls for these hazards are equally important. Engineered controls should be integrated into nanomaterial manufacturing process design according to 10CFR851, DOE Policy 456.1, and DOE Notice 456.1 as safetyrelated hardware or administrative controls for worker safety. Nanomaterial hazards in a nuclear facility must also meet control requirements per DOE standards 3009, 1189, and 1186. Integration of safe designs into manufacturing processes for new applications concurrent with the developing technology is essential for worker safety. This paper presents a discussion of nanotechnology, nanomaterial properties/hazards and controls.
 Online
 Washington, D.C. : United States. Dept. of Energy. ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2009
 Description
 Book — PDFfile: 14 pages; size: 0.2 Mbytes
 Summary

The purpose of this whitepaper is to provide a framework for understanding the role that Verification and Validation (V&V), Uncertainty Quantification (UQ) and Risk Quantification, collectively referred to as VU, is expected to play in modeling nuclear energy systems. We first provide background for the modeling of nuclear energy based systems. We then provide a brief discussion that emphasizes the critical elements of V&V as applied to nuclear energy systems but is general enough to cover a broad spectrum of scientific and engineering disciplines that include but are not limited to astrophysics, chemistry, physics, geology, hydrology, chemical engineering, mechanical engineering, civil engineering, electrical engineering, nu nuclear engineering material clear science science, etc. Finally, we discuss the critical issues and challenges that must be faced in the development of a viable and sustainable VU program in support of modeling nuclear energy systems.
 Online
 Washington, D.C : United States. Dept. of Energy. Office of Energy Efficiency and Renewable Energy ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2008
 Description
 Book — 1 online resource (122 p. ) : digital, PDF file.
 Summary

The research sponsored by this project has greatly expanded the ASSET corrosion prediction software system to produce a worldclass technology to assess and predict engineering corrosion of metals and alloys corroding by exposure to hot gases. The effort included corrosion data compilation from numerous industrial sources and data generation at Shell Oak Ridge National Laboratory and several other companies for selected conditions. These data were organized into groupings representing various combinations of commercially available alloys and corrosion by various mechanisms after acceptance via a critical screening process to ensure the data were for alloys and conditions, which were adequately well defined, and of sufficient repeatability. ASSET is the largest and most capable, publiclyavailable technology in the field of corrosion assessment and prediction for alloys corroding by high temperature processes in chemical plants, hydrogen production, energy conversion processes, petroleum refining, power generation, fuels production and pulp/paper processes. The problems addressed by ASSET are: determination of the likely dominant corrosion mechanism based upon information available to the chemical engineers designing and/or operating various processes and prediction of engineering metal losses and lifetimes of commercial alloys used to build structural components. These assessments consider exposure conditions (metal temperatures, gas compositions and pressures), alloy compositions and exposure times. Results of the assessments are determination of the likely dominant corrosion mechanism and prediction of the loss of metal/alloy thickness as a function of time, temperature, gas composition and gas pressure. The uses of these corrosion mechanism assessments and metal loss predictions are that the degradation of processing equipment can be managed for the first time in a way which supports efforts to reduce energy consumption, ensure structural integrity of equipment with the goals to avoid premature failure, to quantitatively manage corrosion over the entire life of high temperature process equipment, to select alloys for equipment and to assist in equipment maintenance programs. ASSET software operates on typical Windowsbased (Trademark of Microsoft Corporation) personal computers using operating systems such as Windows 2000, Windows NT and Vista. The software is user friendly and contains the background information needed to make productive use of the software in various helpscreens in the ASSET software. A graduate from a universitylevel curriculum producing a B.S. in mechanical/chemical/materials science/engineering, chemistry or physics typically possesses the background required to make appropriate use of ASSET technology. A training/orientation workshop, which requires about 3 hours of class time was developed and has been provided multiple times to various user groups of ASSET technology. Approximately 100 persons have been trained in use of the technology. ASSET technology is available to about 65 companies representing industries in petroleum/gas production and processing, metals/alloys production, power generation, and equipment design.
 Online
 Washington, D.C. : United States. Dept. of Energy. ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2008
 Description
 Book — PDFfile: 3 pages; size: 14.1 Kbytes
 Summary

Structural materials in GenIV nuclear reactors will face severe conditions of high operating temperatures, high neutron flux exposure, and corrosive environment. Radiation effects and corrosion and chemical compatibility issues are factors that will limit the materials lifetime. Lowchromium (912 Cr wt.%) ferritic martensitic (F/M) steels are being considered as possible candidates because they offer good swelling resistance and good mechanical properties under extreme conditions of radiation dose and irradiation temperature. The surface chemistry of FeCr alloys, responsible for the corrosion properties, is complex. It exists today a controversy between equilibrium thermodynamic calculations, which suggest Cr depletion at the surface driven by the higher surface energy of Cr, and experimental data which suggest the oxidation process occurs in two stages, first forming a Ferich oxide, followed by a duplex oxide layer, and ending with a Crrich oxide. Moreover, it has been shown experimentally that corrosion resistance of F/M steels depends significantly on Cr content, increasing with increasing Cr content and with a threshold around 10% Cr, below which, the alloy behaves as pure Fe. In an attempt to rationalize these two contradicting observations and to understand the physical mechanism behind corrosion resistance in these materials we perform atomistic simulations using our FeCr empirical potential and analyze Cr equilibrium distributions at different compositions and temperatures in single and polycrystalline samples. We analyze the controversy in terms of thermodynamic and kinetic considerations.
 Online
 Washington, D.C. : United States. Dept. of Energy. ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2008
 Description
 Book — PDFfile: 6 pages; size: 0.1 Mbytes
 Summary

This is the Final Report for LDRD 04ERD086, 'ElectroThermalMechanical Simulation Capability'. The accomplishments are well documented in five peerreviewed publications and six conference presentations and hence will not be detailed here. The purpose of this LDRD was to research and develop numerical algorithms for threedimensional (3D) ElectroThermalMechanical simulations. LLNL has long been a world leader in the area of computational mechanics, and recently several mechanics codes have become 'multiphysics' codes with the addition of fluid dynamics, heat transfer, and chemistry. However, these multiphysics codes do not incorporate the electromagnetics that is required for a coupled ElectroThermalMechanical (ETM) simulation. There are numerous applications for an ETM simulation capability, such as explosivelydriven magnetic flux compressors, electromagnetic launchers, inductive heating and mixing of metals, and MEMS. A robust ETM simulation capability will enable LLNL physicists and engineers to better support current DOE programs, and will prepare LLNL for some very exciting longterm DoD opportunities. We define a coupled ElectroThermalMechanical (ETM) simulation as a simulation that solves, in a selfconsistent manner, the equations of electromagnetics (primarily statics and diffusion), heat transfer (primarily conduction), and nonlinear mechanics (elasticplastic deformation, and contact with friction). There is no existing parallel 3D code for simulating ETM systems at LLNL or elsewhere. While there are numerous magnetohydrodynamic codes, these codes are designed for astrophysics, magnetic fusion energy, laserplasma interaction, etc. and do not attempt to accurately model electromagnetically driven solid mechanics. This project responds to the Engineering R&D Focus Areas of Simulation and Energy Manipulation, and addresses the specific problem of ElectroThermalMechanical simulation for design and analysis of energy manipulation systems such as magnetic flux compression generators and railguns. This project compliments ongoing DNT projects that have an experimental emphasis. Our research efforts have been encapsulated in the Diablo and ALE3D simulation codes. This new ETM capability already has both internal and external users, and has spawned additional research in plasma railgun technology. By developing this capability Engineering has become a worldleader in ETM design, analysis, and simulation. This research has positioned LLNL to be able to compete for new business opportunities with the DoD in the area of railgun design. We currently have a threeyear $1.5M project with the Office of Naval Research to apply our ETM simulation capability to railgun bore life issues and we expect to be a key player in the railgun community.
 Online
33. Damageresistant singlepulse optics for xray free electron lasers [electronic resource]. [2007]
 Washington, D.C. : United States. Dept. of Energy. ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2007
 Description
 Book — PDFfile: 9 pages; size: 0.5 Mbytes
 Summary

Shortpulse ultraviolet and xray free electron lasers of unprecedented peak brightness are in the process of revolutionizing physics, chemistry, and biology. Optical components for these new light sources have to be able to withstand exposure to the extremely highfluence photon pulses. Whereas most optics have been designed to stay intact for many pulses, it has also been suggested that singlepulse optics that function during the pulse but disintegrate on a longer timescale, may be useful at higher fluences than multiplepulse optics. In this paper we will review damageresistant singlepulse optics that recently have been demonstrated at the FLASH softxray laser facility at DESY, including mirrors, apertures, and nanolenses. It was found that these objects stay intact for the duration of the 25fs FLASH pulse, even when exposed to fluences that exceed the melt damage threshold by fifty times or more. We present a computational model for the FLASH lasermaterial interaction to analyze the extent to which the optics still function during the pulse. Comparison to experimental results obtained at FLASH shows good quantitative agreement.
 Online
 Washington, D.C. : United States. Dept. of Energy. Office of Science ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2007
 Description
 Book — 236k : digital, PDF file.
 Summary

This project focuses on the characterization of a new class of solvent systems called gasexpanded liquids (GXLs), targeted for greenchemistry processing. The collaboration has adopted a synergistic approach combining elements of molecular dynamics (MD) simulation and spectroscopic experiments to explore the local solvent behavior that could not be studied by simulation or experiment alone. The major accomplishments from this project are: • Applied MD simulations to explore the nonuniform structure of CO2/methanol and CO2/acetone GXLs and studied their dynamic behavior with selfdiffusion coefficients and correlation functions • Studied local solvent structure and solvation behavior with a combination of spectroscopy and MD simulations • Measured transport properties of heterocyclic solutes in GXLs through TaylorAris diffusion techniques and compared these findings to those of MD simulations • Probed local polarity and specific solutesolvent interactions with DielsAlder and SN2 reaction studies The broader scientific impact resulting from the research activities of this contract have been recognized by two recent awards: the Presidential Green Chemistry Award (Eckert & Liotta) and a fellowship in the American Association for the Advancement of Science (Hernandez). In addition to the technical aspects of this contract, the investigators have been engaged in a number of programs extending the broader impacts of this project. The project has directly supported the development of two postdoctoral researcher, four graduate students, and five undergraduate students. Several of the undergraduate students were cofunded by a Georgia Tech program, the Presidential Undergraduate Research Award. The other student, an AfricanAmerican female graduated from Georgia Tech in December 2005, and was cofunded through an NSF Research and Education for Undergraduates (REU) award.
 Online
 Washington, D.C. : United States. Dept. of Energy. ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2006
 Description
 Book — 1 online resource (197 p.) : digital, PDF file.
 Summary

Fluidized beds (FB) reactors are widely used in the polymerization industry due to their superior heat and masstransfer characteristics. Nevertheless, problems associated with local overheating of polymer particles and excessive agglomeration leading to FB reactors defluidization still persist and limit the range of operating temperatures that can be safely achieved in plantscale reactors. Many people have been worked on the modeling of FB polymerization reactors, and quite a few models are available in the open literature, such as the wellmixed model developed by McAuley, Talbot, and Harris (1994), the constant bubble size model (Choi and Ray, 1985) and the heterogeneous three phase model (Fernandes and Lona, 2002). Most these research works focus on the kinetic aspects, but from industrial viewpoint, the behavior of FB reactors should be modeled by considering the particle and fluid dynamics in the reactor. Computational fluid dynamics (CFD) is a powerful tool for understanding the effect of fluid dynamics on chemical reactor performance. For singlephase flows, CFD models for turbulent reacting flows are now well understood and routinely applied to investigate complex flows with detailed chemistry. For multiphase flows, the stateoftheart in CFD models is changing rapidly and it is now possible to predict reasonably well the flow characteristics of gassolid FB reactors with monodispersed, noncohesive solids. This thesis is organized into seven chapters. In Chapter 2, an overview of fluidized bed polymerization reactors is given, and a simplified twosite kinetic mechanism are discussed. Some basic theories used in our work are given in detail in Chapter 3. First, the governing equations and other constitutive equations for the multifluid model are summarized, and the kinetic theory for describing the solid stress tensor is discussed. The detailed derivation of DQMOM for the population balance equation is given as the second section. In this section, monovariate population balance, bivariate population balance, aggregation and breakage equation and DQMOMMultiFluid model are described. In the last section of Chapter 3, numerical methods involved in the multifluid model and timesplitting method are presented. Chapter 4 is based on a paper about application of DQMOM to polydisperse gassolid fluidized beds. Results for a constant aggregation and breakage kernel and a kernel developed from kinetic theory are shown. The effect of the aggregation success factor and the fragment distribution function are investigated. Chapter 5 shows the work on validation of mixing and segregation phenomena in gassolid fluidized beds with a binary mixture or a continuous size distribution. The simulation results are compared with available experiment data and discreteparticle simulation. Chapter 6 presents the project with Univation Technologies on CFD simulation of a Polyethylene pilotscale FB reactor, The fluid dynamics, mass/heat transfer and particle size distribution are investigated through CFD simulation and validated with available experimental data. The conclusions of this study and future work are discussed in Chapter 7.
 Online
 Washington, D.C. : United States. Dept. of Energy. ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2005
 Description
 Book — PDFfile: 30 pages; size: 0.8 Mbytes
 Summary

A database storage, search and retrieval method of constitutive model responses for use in plasticity simulations is developed to increase the computational efficiency of finite element simulations employing complex nonlinear material models. The method is based in the in situ adaptive tabulation method that has been successfully applied in the field of combustion chemistry, but is significantly modified to better handle the system of equations in plasticity. When using the database, the material response is estimated by a linear extrapolation from an appropriate database entry. This is shown to provide a response with an acceptable error tolerance. Two different example problems are chosen to demonstrate the behavior of the constitutive model estimation technique: a dynamic shock simulation, and a quasistatic inhomogeneous deformation simulation. This generalized in situ adaptive tabulation method shows promise for enabling simulations with complex multiphysics and multilength scale constitutive descriptions.
 Online
37. 2004 LLNL Computational Chemistry and Materials Science Summer Institute [electronic resource]. [2004]
 Washington, D.C. : United States. Dept. of Energy. ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2004
 Description
 Book — PDFfile: 20 pages; size: 4.4 Mbytes
 Summary

No abstract prepared.
 Online
38. Basic Principles in Applied Catalysis [2004]
 Baerns, Manfred.
 Berlin, Heidelberg : Springer Berlin Heidelberg, 2004.
 Description
 Book — 1 online resource (x, 557 pages) Digital: text file.PDF.
 Summary

 I Introduction. The Importance of Catalysis in the Chemical and NonChemical Industries. II Selected Reactions in Heterogeneous Catalysis. Partial Oxidation of C2 to C4 Paraffins. Selective Hydrogenation of MultiplyUnsaturated Hydrocarbon Compounds. Catalytic Reforming. The Application of Zeolites in Catalysis. III Preparation, Functionality and Characterization of Heterogeneous Catalysts. Catalyst Preparation. Tools for HighThroughput Experimentation in the Development of Heterogeneous Catalysts. Ordered Mesoporous Materials: Preparation and Application in Catalysis. InsituCharacterization of Practical Heterogeneous Catalysts. IV Homogeneous Catalysis, Polymerization Catalysis and Biocatalysis. Homogeneous Catalysis. Polymerization Catalysis. Biocatalysis. V Catalytic Reaction Engineering. Kinetics of Heterogeneous Catalytic Reactions. Catalyst Deactivation. Divided Catalytic Processes. Structured Catalysts and MicroStructured Reactors.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Shida, Tadamasa.
 Berlin, Heidelberg : Springer Berlin Heidelberg, 2004.
 Description
 Book — 1 online resource (xvi, 206 pages 40 illustrations) Digital: text file.PDF.
 Summary

 1 The Electron: A Primadonna in Chemical Bonding. 2 Fundamentals of Quantum Mechanics: A Prerequisite for Understanding the Chemical Bond. 3 OneElectron Atoms: The Fundamental System. 4 MultiElectron Atoms: The Building Blocks that Produce the Tremendous Variety of Molecules. 5 BornOppenheimer Approximation: Separation of Electronic Motion from Nuclear Motion in Chemical Bonding. 6 The Hydrogen Molecular Ion: The Simplest, but the Most Fundamental System for Understanding Chemical Bonds. 7 The Hydrogen Molecule: Why are Two Neutral Hydrogen Atoms Stabilized by Simply Approaching Each Other?. 8 Polyatomic Molecules: Towards an Understanding of Chemical Bonds in Polyatomic Molecules. References.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Washington, D.C. : United States. Dept. of Energy. ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2004
 Description
 Book — PDFfile: 15 pages; size: 86.3 Kbytes
 Summary

Gadolinium calcium oxoborate (GdCOB) is a nonlinear optical material that belongs to the calciumrareearth (R) oxoborate family, with general composition Ca₄RO(BO₃)₃ (R{sup 3+} = La, Sm, Gd, Lu, Y). Xray photoemission was applied to study the valence band electronic structure and surface chemistry of this material. High resolution photoemission measurements on the valence band electronic structure and Gd 3d and 4d, Ca 2p, B 1s and O 1s core lines were used to evaluate the surface and near surface chemistry. These results provide measurements of the valence band electronic structure and surface chemistry of this rareearth oxoborate.
 Online
 Washington, D.C. : United States. Dept. of Energy ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2004
 Description
 Book — PDFFILE: 55 ; SIZE: 0.6 MBYTES pages
 Summary

This document presents the underlying theory for an unsteady computational model of the transient aerothermodynamics of a deformable vehicle entering an atmosphere at hypersonic speeds. Many unique features of the problem require unusual computational capabilities. The large accelerations associated with the vehicle's flight dynamics results in the bodyfixed reference frame being noninertial, and the governing equations must be modified to include this effect. The vehicle's structural deformations and ablation requires the inclusion of the effects of a moving solid boundary, with a nonuniform mass flux across that boundary. A computational chemistry capability must be included to treat the thermochemical nonequilibrium of the hightemperature gas dynamics, and the reactions between the ablation products and the dissociated air. The theory required to treat these phenomena are described in this report.
 Online
 Washington, D.C. : United States. Dept. of Energy ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2004
 Description
 Book — PDFFILE:29; SIZE:0.6MB pages
 Summary

Multidisciplinary analysis is becoming more and more important to tackle todays complex engineering problems. Therefore, computational tools must be able to handle the complex multiphysics requirements of these problems. A computer code may need to handle the physics associated with fluid dynamics, structural mechanics, heat transfer, chemistry, electromagnetics, or a variety of other disciplinesall coupled in a highly nonlinear system. The objective of this project was to couple an incompressible fluid dynamics package to a solid mechanics code. The code uses finiteelement methods and is useful for threedimensional transient problems with fluidstructure interaction. The code is designed for efficient performance on large multiprocessor machines. An ALE finite element method was developed to investigate fluidstructure interaction. The writeup contains information about the method, the problem formulation, and some results from example test problems.
 Online
 Washington, D.C. : United States. Dept. of Energy ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2004
 Description
 Book — page(s) pp. 40514057 : digital, PDF file.
 Summary

A waveletneural network signal processing method has demonstrated approximately tenfold improvement in the detection limit of various nitrogen and phosphorus compounds over traditional signalprocessing methods in analyzing the output of a thermionic detector attached to the output of a gas chromatograph. A blind test was conducted to validate the lower detection limit. All fourteen of the compound spikes were detected when above the estimated threshold, including all three within a factor of two above. In addition, two of six were detected at levels 1/2 the concentration of the nominal threshold. We would have had another two correct hits if we had allowed human intervention to examine the processed data. One apparent false positive in five nulls was traced to a solvent impurity, whose presence was identified by running a solvent aliquot evaporated to 1% residual volume, while the other four nulls were properly classified. We view this signal processing method as broadly applicable in analytical chemistry, and we advocate that advanced signal processing methods be applied as directly as possible to the raw detector output so that less discriminating preprocessing and postprocessing does not throw away valuable signal.
 Online
 Lüdtke, Klaus H.
 Berlin, Heidelberg : Springer Berlin Heidelberg, 2004.
 Description
 Book — 1 online resource (xvii, 328 pages) Digital: text file.PDF.
 Summary

 1 Basic Compressor AeroThermodynamics. 2 Thermodynamics of Real Gases. 3 Aero Components  Function and Features. 4 Compressor Design Constraints. 5 Compressor OffDesign Operation. 6 Aerodynamic Compressor Design: Case Study. 7 Application Examples. 8 Improving Efficiency and Operating Range. 9 Rerate of Process Centrifugal Compressors. 10 Standardization of Compressor Components. Unit Equations. EnglishGerman Glossary on Compressors.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Washington, D.C. : United States. Dept. of Energy. ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2004
 Description
 Book — PDFfile: 10 pages; size: 0.5 Mbytes
 Summary

Presented here is a working methodology for adapting a Lawrence Livermore National Laboratory (LLNL) developed hydrocode, ALE3D, to simulate weapon damage effects when afterburn is a consideration in the blast propagation. Experiments have shown that afterburn is of great consequence in enclosed environments (i.e. bomb in tunnel scenario, penetrating conventional munition in a bunker, or satchel charge placed in a deep underground facility). This empirical energy deposition methodology simulates the anticipated addition of kinetic energy that has been demonstrated by experiment (Kuhl, et. al. 1998), without explicitly solving the chemistry, or resolving the mesh to capture smallscale vorticity. This effort is intended to complement the existing capability of either coupling ALE3D blast simulations with DYNA3D or performing fully coupled ALE3D simulations to predict building or component failure, for applications in National Security offensive strike planning as well as Homeland Defense infrastructure protection.
 Online
 Krause, Egon.
 Berlin, Heidelberg : Springer Berlin Heidelberg, 2003.
 Description
 Book — 1 online resource (VII, 478 pages) Digital: text file.PDF.
 Summary

 Earth Sciences
 HighResolution Studies of Transport Processes in the Atmospheric Boundary Layer Using the Synergy of Large Eddy Simulation and Measurements of Advanced Lidar Systems
 High Resolution Climate Change Simulation for Central Europe
 Water on Mars
 Viscosity Stratification and a 3D Compressible Spherical Shell Model of Mantle Evolution
 Physics
 Collisional Dynamics of Black Holes, Star Clusters and Galactic Nuclei
 Formation and Propagation of Jets Around Compact Objects
 Large Scale Simulations of Jets in Dense and Magnetised Environments
 Crack Propagation in Icosahedral Model Quasicrystals
 Structure and Spectrum of PolyPorphyrin
 How Do Droplets Depend on the System Size? Droplet Condensation and Nucleation in Small Simulation Cells
 Solid State Physics
 Numerical Studies of Collective Effects in NanoSystems
 GasPhase Epitaxy Grown InP(001) Surfaces From RealSpace FiniteDifference Calculations
 Amorphous Silica at Surfaces and Interfaces: Simulation Studies
 Quantum MonteCarlo Simulations of Correlated Bosonic and Fermionic Systems
 Ab initio Simulation of Clusters: Modeling the Deposition Dynamics and the Catalytic Properties of PdN on MgO Surface FCenters
 Reactive Flows
 DNS of Turbulent Premixed CO/H2/Air Flames
 Transition from Stationary to Rotating Bound States of Dissipative Solitons
 Computational Fluid Dynamics
 Investigation of the Flow Randomization Process in a Transitional Boundary Layer
 Numerical Simulation of 3D Unsteady Heat Transfer at Strongly Deformed Droplets at High Reynolds Numbers
 3D Simulations of Supersonic Chemically Reacting Flows
 Numerical Investigation of SemiTurbulent Pipe Flow
 Numerical Simulation of Forced Breakup of a Liquid Jet
 The Effect of Impinging Wakes on the Boundary Layer of a ThinShaped Turbine Blade
 Numerical High Lift Research II
 Prediction of the Model Deformation of a High Speed Transport Aircraft Type Wing by Direct Aeroelastic Simulation
 RayleighBénard Convection at Large Aspect Ratios
 Chemistry
 Quantum Chemical Calculations of Transition Metal Complexes
 Quantum Mechanical Studies of Boron Clustering in Silicon
 Protonation States of Methionine Aminopeptidase Studied by QM/MM CarParrinello Molecular Dynamics Simulations
 Molecular Transport Through Single Molecules
 Computer Science
 Towards a Holistic Understanding of the Human Genome by Determination and Integration of Its Sequential and ThreeDimensional Organization
 Efficient and ObjectOriented Libraries for Particle Simulations
 SKaMPI
 Including More Complex Communication Patterns
 Performance Analysis Using the PARbench Benchmark System.
 Wagner, Siegfried.
 Berlin, Heidelberg : Springer Berlin Heidelberg, 2003.
 Description
 Book — 1 online resource (XIII, 505 pages 332 illustrations, 79 illustrations in color.)
 Summary

 I High Performance Systems
 TeraFlops Computing with the Hitachi SR8000F1: From Vision to Reality
 II Computational Fluid Dynamics
 Numerical Prediction of Deformations and Oscillations of WindExposed Structures
 LargeEddy and DetachedEddy Simulation of the Flow Around HighLift Configurations
 Direct Simulation with the Lattice Boltzmann Code BEST of Developed Turbulence in Channel Flows
 DNS of Homogeneous Shear Flow and Data Analysis for the Development of a FourEquation Turbulence Model
 LargeEddy Simulations of High Reynolds Number Flow Around a Circular Cylinder
 Numerical Simulation of Passively Controlled Turbulent Flows over Sharp
 Edged and Smoothly Contoured Backward
 Facing Steps
 Parallel Single and Multiphase CFDApplications Using Lattice Boltzmann Methods
 Models of Type Ia Supernova Explosions
 Direct Numerical Simulation of Boundary Layer Separation along a Curved Wall with Oscillating Oncoming Flow
 III Biosciences
 QM/MM Study of Rhodopsin
 Simulation of Neuronal Map Formation in the Primary Visual Cortex
 IV Chemistry
 A UserOriented Set of Quantum Chemical Benchmarks
 Structure, Energetics, and Spectroscopy of Models for Enzyme Cofactors
 Ruthenium Dioxide, a Versatile Oxidation Catalyst: First Principles Analysis
 Theoretical Studies of Structures of Vanadate Complexes in Aqueous Solution
 V SolidState Physics
 Large Scale CarParrinello Simulation of Fully Hydrated DNA
 MetalInsulator Transitions and Realistic Modelling of Correlated Electron Systems
 Monte Carlo Studies of ThreeDimensional BondDiluted Ferromagnets
 Microwave Ionisation of NonHydrogenic Alkali Rydberg States
 DensityFunctional Calculation and Inelastic Neutron Scattering of Structural and Dynamical Properties in Fluoride Crystals
 Optical Response of Semiconductor Surfaces and Molecules Calculated from First Principles
 Phase Fluctuations and the Role of Electron Phonon Coupling in HighTcSuperconductors
 The ClusterPerturbationTheory and its Application to StronglyCorrelated Materials
 ObjectOriented C++ Class Library for Many Body Physics on Finite Lattices and a First Application to HighTemperature Superconductivity
 From Fermi Liquid to NonFermi Liquid Physics
 Influence of NonLocal Fluctuations in LowDimensional Fermion Systems
 OneDimensional ElectronPhonon Systems: Mott Versus PeierlsInsulators
 VI Geophysics
 3D Seismic Wave Propagation on a Global and Regional Scale: Earthquakes, Fault Zones, Volcanoes
 VII Fundamental Physics
 Simulation of QCD with Dynamical Quarks
 Quantum Chromodynamics with Chiral Quarks
 ThreeNucleon Force in the4He Scattering System
 Simulations of the Local Universe
 The Free Electron Maser in Pulsar Magnetospheres
 VIII Computer Science
 PseudoVectorization and RISC Optimization Techniques for the Hitachi SR8000 Architecture
 Automatic Performance Analysis on Hitachi SR8000
 Adapting PAxML to the Hitachi SR8000F1 Supercomputer
 Load Balancing for SpatialGridBased Parallel Numeric Simulations on Clusters of SMPs
 A Case Study from an Industrial CFD Simulation
 Scientific Progress in the ParEXPDEProject
 gridlib
 A Parallel, ObjectOriented Framework for HierarchicalHybrid Grid Structures in Technical Simulation and Scientific Visualization.
 Norwich, N.Y. : Knovel, 2003.
 Description
 Book — 1 online resource : illustrations
 Summary

 Periodic Table of the Elements
 Basic Physical Properties of Chemical Compounds
 Physical Constants of Inorganic Compounds
 Calculated Vapor Pressures of Organic Compounds
 Heat Capacity of Organic Compounds in Gas Phase
 Enthalpy & Entropy of Formation of Organic Compounds in Gas Phase
 Thermodynamics and Statistical Mechanics
 Basic Physical Properties of Common Solvents
 Tensile Properties of Carbon Steel as a Function of Hardness
 Safety Properties of Common Solvents
 Consequence Analysis
 Creep Strain vs. Time
 Stress vs. Time
 Stress vs. Time to Rupture
 Overview of Airborne Radar
 Basic Concepts
 Interactive Table
 Design Mechanical Properties of Aerospace Alloys
 Interactive Graphs
 Temperature Effect on Mechanical Properties of Aerospace Alloys
 Titanium
 AgAl (SilverAluminum)
 Speed of Sound vs. Temperature
 SI Units
 Speed of Sound vs. Temperature
 English Units.
 Online
 Washington, D.C. : United States. Dept. of Energy ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2003
 Description
 Book — 1 online resource (26 pages ) : digital, PDF file.
 Summary

In this work, ITN Energy Systems (ITN) and lowertier subcontractor Colorado School of Mines (CSM) explore the replacement of the molecular chalcogen precursors during deposition (e.g., Se2 or H2Se) with more reactive chalcogen monomers or radicals (e.g., Se). Molecular species will be converted to atomic species in a lowpressure inductively coupled plasma. The nonequilibrium environment created by the plasma will allow control over the S/Se ratio in these films. Tasks of the proposed program center on developing and validating monoatomic chalcogen chemistry, tuning of lowpressure monomer chalcogen sources, and evaluating plasmaassisted coevaporation (PACE) for CIGS coevaporation. Likely advantages of deposition by plasmaenhanced coevaporation include: (a)provides potential for lower deposition temperature and/or for better film quality at higher deposition temperature; (b) provide potential for decreased deposition times; (c) provides high material utilization efficiency (≈90%) that results in less deposition on other parts of the reactor, leading to lower cleanup and maintenance costs, as well as longer equipment lifetime; (d) high material utilization efficiency also reduces the total operating pressure, which is beneficial for the design and control of metal coevaporation (advantages include minimal metalvapor beam spread and lower source operating temperatures); (e) enables deposition of widebandgap copper indium gallium sulfurselenide (CIGSS) films with controlled stoichiometry.
 Online
 Washington, D.C. : United States. National Nuclear Security Administration ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2003
 Description
 Book — 1 online resource (vp. ) : digital, PDF file.
 Summary

The successful development of lithiumdrifted Ge detectors in the 1960's marked the beginning of the significant use of semiconductor crystals for direct detection and spectroscopy of gamma rays. In the 1970's, highpurity Ge became available, which enabled the production of complex detectors and multidetector systems. In the following decades, the technology of semiconductor gammaray detectors continued to advance, with significant developments not only in Ge detectors but also in Si detectors and roomtemperature compoundsemiconductor detectors. In recent years, our group at Lawrence Berkeley National Laboratory has developed a variety of gamma ray detectors based on these semiconductor materials. Examples include Ge strip detectors, lithiumdrifted Si strip detectors, and coplanargrid CdZnTe detectors. These advances provide new capabilities in the measurement of gamma rays, such as the ability to perform imaging and the realization of highly compact spectroscopy systems.
 Online
51. Scientific Computing with MATLAB [2003]
 Quarteroni, Alfio.
 Berlin, Heidelberg : Springer Berlin Heidelberg, 2003.
 Description
 Book — 1 online resource (ix, 257 pages)
 Summary

 1. What can't be ignored
 1.1 Real numbers
 1.2 Complex numbers
 1.3 Matrices
 1.4 Real functions
 1.5 To err is not only human
 1.6 A few more words about MATLAB
 1.7 What we haven't told you
 1.8 Exercises
 2. Nonlinear equations
 2.1 The bisection method
 2.2 The Newton method
 2.3 Fixed point iterations
 2.4 What we haven't told you
 2.5 Exercises
 3. Approximation of functions and data
 3.1 Interpolation
 3.2 Piecewise linear interpolation
 3.3 Approximation by spline functions
 3.4 The least squares method
 3.5 What we haven't told you
 3.6 Exercises
 4. Numerical differentiation and integration
 4.1 Approximation of function derivatives
 4.2 Numerical integration
 4.3 Simpson adaptive formula
 4.4 What we haven't told you
 4.5 Exercises
 5. Linear systems
 5.1 The LU factorization method
 5.2 The technique of pivoting
 5.3 How accurate is the LU factorization?
 5.4 How to solve a tridiagonal system
 5.5 Iterative methods
 5.5.1 How to construct an iterative method
 5.6 When should an iterative method be stopped?
 5.7 Richardson method
 5.8 What we haven't told you
 5.9 Exercises
 6. Eigenvalues and eigenvectors
 6.1 The power method
 6.2 Generalization of the power method
 6.3 How to compute the shift
 6.4 Computation of all the eigenvalues
 6.5 What we haven't told you
 6.6 Exercises
 7. Ordinary differential equations
 7.1 The Cauchy problem
 7.2 Euler methods
 7.3 The CrankNicolson method
 7.4 Zerostability
 7.5 Stability on unbounded intervals
 7.6 High order methods
 7.7 The predictorcorrector methods
 7.8 Systems of differential equations
 7.9 What we haven't told you
 7.10 Exercises
 8. Numerical methods for boundaryvalue problems
 8.1 Approximation of boundaryvalue problems
 8.2 Finite differences in 2 dimensions
 8.3 What we haven't told you
 8.4 Exercises
 9. Solutions of the exercises
 9.1 Chapter 1
 9.2 Chapter 2
 9.3 Chapter 3
 9.4 Chapter 4
 9.5 Chapter 5
 9.6 Chapter 6
 9.7 Chapter 7
 9.8 Chapter 8
 Index of MATLAB Programs.
(source: Nielsen Book Data)
 Washington, D.C. : United States. Dept. of Energy ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2002
 Description
 Book — PDFFILE: 8 ; SIZE: 8.4 MBYTES pages
 Summary

Predictions of component performance versus lifetime are often risky for complex materials in which there may be many underlying aging or degradation mechanisms. In order to develop more accurate predictive models for silicafilled siloxane components, we are studying damage mechanisms over a broad range of size domains, linked together through several modeling efforts. Atomistic and molecular dynamic modeling has elucidated the chemistry of the silica filler to polymer interaction, as this interaction plays a key role in this material's aging behavior. This modeling work has been supported by experimental data on the removal of water from the silica surface, the effect of the surrounding polymer on this desiccation, and on the subsequent change in the mechanical properties of the system. Solid State NMR efforts have characterized the evolution of the polymer and filler dynamics as the material is damaged through irradiation or desiccation. These damage signatures have been confirmed by direct measurements of changes in polymer crosslink density and filler interaction as measured by solvent swelling, and by mechanical property tests. Data from the changes at these molecular levels are simultaneously feeding the development of ageaware constitutive models for polymer behavior. In addition, the microstructure of the foam, including under load, has been determined by Computed Tomography, and this data is being introduced into Finite Element Analysis codes to allow component level models. All of these techniques are directed towards the incorporation of molecular and microstructural aging signatures into predictive models for overall component performance.
 Online
 Washington, D.C. : United States. Dept. of Energy ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2002
 Description
 Book — PDFFILE: 13 ; SIZE: 11.6 MBYTES pages
 Summary

The preparation and characterization of energetic composite materials containing nanometersized constituents is currently a very active and exciting area of research at laboratories around the world. Some of these efforts have produced materials that have shown very unique and important properties relative to traditional energetic materials. We have previously reported on the use of solgel chemical methods to prepare energetic nanocomposites. Primarily we reported on the solgel method to synthesize nanometersized ferric oxide that was combined with aluminum fuel to make pyrotechnic nanocomposites. Since then we have developed a synthetic approach that allows for the preparation of hybrid inorganic/organic energetic nanocomposites. This material has been characterized by thermal methods, energyfiltered transmission electron microscopy (EFTEM), N₂ adsorption/description methods, and FourierTransform (FTIR) spectroscopy, results of which will be discussed. According to these characterization methods the organic polymer phase fills the nanopores of the composite material, providing superb mixing of the component phases in the energetic nanocomposite. The EFTEM results provide a convenient and effective way to evaluate the intimacy of mixing between these component phases. The safe handling and preparation of energetic nanocomposites is of paramount importance to this research and we will report on studies performed to ensure such.
 Online
 Breuer, Michael.
 1.  Berlin, Heidelberg : Springer Berlin Heidelberg, 2002.
 Description
 Book — 1 online resource (xiii, 410 pages 265 illustrations)
 Summary

 I. Fluid Flow. LargeScale FluidStructure Interaction Simulations Using Parallel Computers. MEGAFLOW  An Industrial Flow Simulation Tool for Aircraft Applications 21. Development of a Parallel FVM Based Groundwater. Flow Model. Adaptive Hybrid Mixed Finite Element Discretization of Instationary Variably Saturated Flow in Porous Media 37. Simulation of High Pressure Liquid Chromatography (HPLC) Columns with CFD 45. CFD Calculations of Flow, Dispersion and Chemical Reactions in Fixed Bed Tubular Reactors Using the Lattice Boltzmann Method 53. Computational Engineering for WindExposed ThinWalled Structures 63. Numerical Simulation of Wind Loads on Antenna Structures 71. Numerical Calculation of Turbulent Premixed Flames with an Efficient Turbulent Flame Speed Closure Model 81. Monte Carlo Simulations of Radiative Heat Transfer with. Parallel Computer Architectures 89. Direct Numerical Simulation of Bubble Swarms with. a Parallel FrontTracking Method. SymmetryPreserving Discretization of Turbulent Channel. Flow 107. Parallelization Strategies and Efficency of CFD Computations in Complex Geometries Using Lattice Boltzmann Methods on HighPerformance Computers 115. Applications of the Lattice Boltzmann Method to Complex and Turbulent Flows 123. Computation of Flows Around Space Configurations. Flow Visualization on Hierarchical Cartesian Grids. II. Mathematical Methods. The Finite Mass Method  A New Approach to the Solution of Flow Problems 149. An OctreeBased Approach for Fast Elliptic Solvers. A Variable Order Method of Lines: Accuracy, Conservation and Applications 167. A Hybrid Direct/Iterative Algorithm for the Solution of Poisson's Equation Based on the Schur Complement Method 175. III. Crystal Growth and Materials. HighPerformance Computing, MultiScale Models for Crystal Growth Systems. SemiDirect Numerical Simulation of a Czochralski Melt Flow on HighPerformance Computers. HighOrder Numerical Solutions for Rotating Flows with Walls. Parallel Coupled Simulation of Casting Processes on Cluster of PCs 221. Controlling Point Defects in Single Silicon Crystals Grown by the Czochralski Method 229. A TwoScale Method for LiquidSolid Phase Transitions with Dendritic Microstructure 237. Application of Higher Order BDF Discretization of the Boussinesq Equation and the Heat Transport Equation. Spectral and Finite Volume Numerical Approximations for Solutal Convection in Melted Alloys 253. Numerical Simulation of Physical Vapour Transport Crystal Growth Processes by a Finite Volume Solution Algorithm 261. 3D BlockStructured Grid Algorithms for the Numerical Simulation of Chemical Vapor Deposition in Horizontal Reactors. Control of Electron Beam Evaporation: Numerical Simulation. IV. Dynamic Systems and Optimal Control. Solution of a Hard Flight Path Optimization Problem by Different Optimization Codes 289. Adaptive Data Structures and Algorithms for Efficient Visualization and Data Management at Runtime of Terrain and Feature Data 297. Recent Improvements in the Trajectory Optimization Software ASTOS. Optimal Design of the Power Train of Vehicles: Modelling, Simulation and Optimization. Unsteady Heat Load Simulation for Hypersonic Cruise Optimization 325. Modeling Techniques and Parameter Estimation for the Simulation of Complex Vehicle Structures. V. Optimization of Electronic Circuits. Numerical Techniques for Different Time Scales in Electric Circuit Simulation 343. Transient Noise Analysis in Circuit Simulation. Realistic Step Flow Model for OrientationDependent Wet Etching 369. Modeling of IonInduced Charge Generation in High Voltage Diodes 377. Modelling and Simulation of the Transient Electromagnetic Behavior of High Power Bus Bars 385. Modeling and Simulation of Electrothermomechanical. Coupling Phenomena in High Power Electronics. Heat Conduction as Eigenvalue Problem.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
55. The Mechanical Properties of ALCA PlusTM Cast Aluminum Amplifier Top Plates [electronic resource]. [2002]
 Washington, D.C. : United States. Dept. of Energy. ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2002
 Description
 Book — 19p : digital, PDF file.
 Summary

The amplifier top plates are monolithic, cast aluminum structures from which the amplifier frame assembly units (FAUs), and the linereplaceable flash lamp units (LRUs) inside them, are hung on the support rails in the laser bays. When fully assembled, each plate must support a static weight of 10,600 or 16,000 pounds, depending upon whether two or three loaded FAUs are attached. The top plates are fabricated from ''ALCA Plus{trademark}'', a zinccontaining aluminum casting alloy similar in composition to some standard alloys in the 7000series. For electrical reasons, all of the plate with the exception of the support ''ears'', is encased in epoxy as shown in Figure 1. The nominal chemistry of the aluminum alloy is summarized in Table 1 and the nominal mechanical characteristics are summarized in Table 2. For comparison, wrought alloys of similar composition in the 7000series have ultimate strengths of approximately 3376 ksi and elongations of 1117%, depending upon the temper.
 Online
 Sedgewick, Jerry.
 Boston, MA : Springer US, 2002.
 Description
 Book — 1 online resource (xi, 107 pages) Digital: text file; PDF.
 Summary

 Part 1: Before Getting Started in Photoshop. Flatbed Scanners. Film Scanners. Scanning Tips. Digital Camera Systems. Making Nonpixelated, High Resolution Images from Graphing, Drawing & Word Processing Programs. Differences Between a Drawing Program (Vector Graphics) and a Paint Program (Image Files). Ethics and Photoshop. Computer Requirements for Running Photoshop. Computer Screens (monitors). Setting Memory for Photoshop on a Macintosh. Visual Definitions. Overview of Toolbar. Setting up The Photoshop Workspace. Troubleshooting. Load Actions in Photoshop.
 Part 2: Quick Photoshop: Steps for Single Images. Marquee Tool and Guidelines. Open Image/Duplicate. Rotate/Flip. Undo & History. Zooming In & Out. Crop. Mode. Dust and Scratches. Sharpening. Contrast & Color: A Primer. Contrast/Color Auto Actions. Contrast/Color Manual Adjustments. Contrast/Color Darkfield & Drawings or Graphs. Contrast: Measuring Pixels & Matching Background Gray Levels. Manual Color Controls/Subtle colors. ColorChanging Certain Colors. Adding Color. Subsequent Steps for Single Image. Final Resolution and Dimensions for Single Images.
 Part 3: Combining More Than One Image and Adding Lettering. Layers. Layers: Actions & Flattening. Cropping Several Images to the Same Dimensions. Merging Images. Combining 1 Image. ColorChanging Certain Colors. Adding Color. Adding White Space For Lettering in Photoshop. Manual Lettering of Images (4x, 5x) Lettering in Photoshop (6x, 7x) Enhancements to Lettering Alignment and Orientation of Type.
 Part 4: Finalizing Figures. Auto, Single & MultiImage Figures (or Plates). Manual Layout of Multiple Images to Make a Figure or Plate. Symbols. Adding Symbols Manually. Filling Image Areas with Patterns. Magnification and Scale Bars. Saving Files. Prints and 35mm Slides From Digital Files. Setting Resolution and Dimensions For Output. Working With Color CMYK Files (for Publication and PrePress Printers). Working with PowerPoint. Color Shifts with Grayscale Photographs. Organizing & Archiving Files. Summary of Steps. Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
This text contains essential information on the use of Photoshop specific to researchers. The stepbystep guide is designed not for the purpose of graphic or web design: instead, the book only addresses the tools and functions necessary for the ethical enhancement of scientific images, and subsequent layout of these images into figures or plates. The aim is to provide information about digital imaging in an easytofollow guide from the beginning of the imaging process to its end. Additional information about scanning and acquiring images via a digital camera or laser/PMT system is also covered, as well as information about printers and PowerPoint. This book is intended for occasional users, as well as beginning and intermediate users, primarily in the life sciences, though it can be applied to forensics, astronomy, and engineering. It can also be distributed from core imaging facilities from within universities and corporations for those who use microscopes, scanners, confocal systems, and other imaging devices.
(source: Nielsen Book Data)
 Sedgewick, Jerry.
 Boston, MA : Springer US, 2002.
 Description
 Book — 1 online resource (120 p.)
 Summary

 Part 1: Before Getting Started in Photoshop. Flatbed Scanners. Film Scanners. Scanning Tips. Digital Camera Systems. Making Nonpixelated, High Resolution Images from Graphing, Drawing & Word Processing Programs. Differences Between a Drawing Program (Vector Graphics) and a Paint Program (Image Files). Ethics and Photoshop. Computer Requirements for Running Photoshop. Computer Screens (monitors). Setting Memory for Photoshop on a Macintosh. Visual Definitions. Overview of Toolbar. Setting up The Photoshop Workspace. Troubleshooting. Load Actions in Photoshop.
 Part 2: Quick Photoshop: Steps for Single Images. Marquee Tool and Guidelines. Open Image/Duplicate. Rotate/Flip. Undo & History. Zooming In & Out. Crop. Mode. Dust and Scratches. Sharpening. Contrast & Color: A Primer. Contrast/Color Auto Actions. Contrast/Color Manual Adjustments. Contrast/Color Darkfield & Drawings or Graphs. Contrast: Measuring Pixels & Matching Background Gray Levels. Manual Color Controls/Subtle colors. ColorChanging Certain Colors. Adding Color. Subsequent Steps for Single Image. Final Resolution and Dimensions for Single Images.
 Part 3: Combining More Than One Image and Adding Lettering. Layers. Layers: Actions & Flattening. Cropping Several Images to the Same Dimensions. Merging Images. Combining 1 Image. ColorChanging Certain Colors. Adding Color. Adding White Space For Lettering in Photoshop. Manual Lettering of Images (4x, 5x) Lettering in Photoshop (6x, 7x) Enhancements to Lettering Alignment and Orientation of Type.
 Part 4: Finalizing Figures. Auto, Single & MultiImage Figures (or Plates). Manual Layout of Multiple Images to Make a Figure or Plate. Symbols. Adding Symbols Manually. Filling Image Areas with Patterns. Magnification and Scale Bars. Saving Files. Prints and 35mm Slides From Digital Files. Setting Resolution and Dimensions For Output. Working With Color CMYK Files (for Publication and PrePress Printers). Working with PowerPoint. Color Shifts with Grayscale Photographs. Organizing & Archiving Files. Summary of Steps. Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
This text contains essential information on the use of Photoshop specific to researchers. The stepbystep guide is designed not for the purpose of graphic or web design: instead, the book only addresses the tools and functions necessary for the ethical enhancement of scientific images, and subsequent layout of these images into figures or plates. The aim is to provide information about digital imaging in an easytofollow guide from the beginning of the imaging process to its end. Additional information about scanning and acquiring images via a digital camera or laser/PMT system is also covered, as well as information about printers and PowerPoint. This book is intended for occasional users, as well as beginning and intermediate users, primarily in the life sciences, though it can be applied to forensics, astronomy, and engineering. It can also be distributed from core imaging facilities from within universities and corporations for those who use microscopes, scanners, confocal systems, and other imaging devices.
(source: Nielsen Book Data)
58. Chaos: A Statistical Perspective [2001]
 Chan, Kungsik.
 New York, NY : Springer New York, 2001.
 Description
 Book — 1 online resource (xv, 303 pages) Digital: text file.PDF.
 Summary

 1. Introduction
 2. Deterministic chaos
 3. Chaos and Stochastic Systems
 4. Statistical Analysis I
 5. Statistical Analysis II
 6. Nonlinear LeastSquare Prediction
 7. Miscellaneous Topics
 References.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
59. Knovel [2001 ]
 [Norwich, NY] : Knovel, [©2001]
 Database topics
 Science (General); Chemistry and Chemical Engineering; Engineering
 Summary

Knovel provides access to reference materials in the fields of engineering and applied sciences. Subject areas covered include: chemistry and chemical engineering, plastics and rubbers, semiconductors, advanced materials, and safety, health and hygiene.
 Online
 Washington, D.C. : United States. Dept. of Energy ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2001
 Description
 Book — PDFFILE: 12 ; SIZE: 21.9 MBYTES pages
 Summary

A theoretical model of combustion in spherical TNT explosions at large Reynolds, Peclet and Damk hler numbers is described. A key feature of the model is that combustion is treated as material transformations in the Le Chatelier plane, rather than ''heat release''. In the limit considered here, combustion is concentrated on thin exothermic sheets (boundaries between fuel and oxidizer). The products expand along the sheet, thereby inducing vorticity on either side of the sheet that continues to feed the process. The results illustrate the linking between turbulence (vorticity) and exothermicity (dilatation) in the limit of fast chemistry thereby demonstrating the controlling role that fluid dynamics plays in such problems.
 Online
 Washington, D.C. : United States. Dept. of Energy ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2001
 Description
 Book — 1 online resource (vp. ) : digital, PDF file.
 Summary

Fact sheet written for the NICE3 Program on an innovative method of purifying combinatorial chemistry compounds.
 Online
 Krause, Egon.
 Berlin, Heidelberg : Springer Berlin Heidelberg, 2000.
 Description
 Book — 1 online resource (viii, 515 pages 1281 illustrations) Digital: text file.PDF.
 Summary

 Physics. Finite difference modelling of elastic wave propagation in the Earth's uppermost mantle. Direct Simulation of Seismic Wave Propagation. Summary of Project 11172. Development and Astrophysical Applications of a Parallel Smoothed Particle Hydrodynamics Code with MPI. Collisional dynamics around black hole binaries in galactic centres. IMD  A Massively Parallel Molecular Dynamics Package for Classical Simulations in Condensed Matter Physics. Symmetrie diblock copolymers confined into thin films: A Monte Carlo investigation on the CRAY T3E. Molecular Dynamics of Covalent Crystals. Simulation of random copolymers at selective interfaces and of crosslinked polymer blends. Towards the Limits of presentday Supercomputers: Exact Diagonalization of Strongly Correlated ElectronPhonon Systems. The MetalInsulator Transition in the Hubbard Model. Vibronic studies of adsorbatecovered semiconductor surfaces with the help of HPC. Computational Methods in Chemistry and Molecular Biology. The multireference configuration interaction method on massively parallel architectures. Quantum Chemical Studies on Heterocyclic Rearrangements in Benzofuroxans: Reaction Paths, Vibrational Spectra, and Rate Constants. High Level QuantumChemical Computations on the Cyclizations of Enyne Allenes. MD Simulation of a Phospholipid Bilayer. ThreeDimensional Organization of Chromosome Territories and the Human Cell Nucleus. Computational Fluid Dynamics (CFD). Parallel Computation of Interface Dynamics in Incompressible TwoPhase Flows. Numerical Simulation of Fluid Flow and Heat Transfer in an Industrial Czochralski Melt Using a ParallelVector Supercomputer. Numerical flow simulation in cylindrical geometries. DNS of LaminarTurbulent Transition in Separation Bubbles. Numerical Simulation of Supersonic HydrogenAir Combustion. Computation of Turbulent Flows with Separation by Coherent Structure Capturing. Large Eddy Simulation of the Flow around a Circular Cylinder. Direct Numerical Simulations of an Adverse Pressure Gradient Turbulent Boundary Layer on High Performance Computers. Aeroelastic Analysis of a Helicopter Rotor in Forward Flight. Flow with chemical reaction. Investigation of ChemistryTurbulence Interactions Using DNS on the Cray T3E. Multigrid Convergence Acceleration for NonReactive and Reactive Flows. QuasiParticles in a ThreeDimensional ThreeComponent ReactionDiffusion System. Upwind Relaxation Algorithm for Reentry Nonequilibrium Flows. 3D Simulation of instationary turbulent flow and combustion in internal combustion engines. Numerical prediction of load changes in a coalfired utility boiler. Structural Mechanics and Electrical Engineering. Design and Application of Object Oriented Parallel Data Structures in Particle and Continuous Systems. Computation of Electromagnetic Fields by the Method of Moments on the CRAY T3E: Iterative Solution Techniques and Large Scale Applications. Numerical Treatment of Time Varying Magnetic Fields in Power Transformers by Using the Boundary Element Method (BEM). Direct and Inverse Electromagnetic Scattering. Computer Science. FineGrained Multithreading on the Cray T3E. ParGrad System: Dynamical Adaptation of the Parallelism Degree of Programs on Cray T3E. Comparative Measurements of the Solution of PDE's on the PARAGON and the SBPRAM. KaHPF: Compiler generated Data Prefetching for HPF. A Parallel Object Oriented Framework for Particle Methods. Parallel solution of Partial Differential Equations with Adaptive Multigrid Methods on Unstructured Grids. Coupling and Parallelization of Gridbased Numerical Simulation Software.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
Prof. Dr. Egon Krause Aerodynamisches Institut, RWTH Aachen Wiillnerstr. 5 u. 7, D52062 Aachen Prof. Dr. Willi Jager Interdisziplinares Zentrum fiir Wissenschaftliches Rechnen Universitat Heidelberg 1m Neuenheimer Feld 368, D69120 Heidelberg High Performance Computing is progressing as a discipline providing im portant tools for research and development in science and industry. The High Performance Computing Center Stuttgart (HLRS) is not only providing the facilities, hard and software for a growing community of researchers and developers, but it also promotes the knowhow to use supercomputers effi ciently. Regular exchange of information, of ideas and methods is essential in improving the proper use of the facilities, and their performance as well as the application of algorithms and of simulation techniques. A Second Result and Review Workshop on HighPerformance Computing in Science and Engineering, (October 4 6,1999) was organized by the HLRS in order to give an overview of the scientific work carried out during the past year and to demonstrate the state of the art in the various fields. In 1998 the Land BadenWiirttemberg decided to extend the responsibilities of the Steering Committee of the HLRS and therewith also the rules of access to its Scientific Supercomputing Center (SSC) Karlsruhe. That center was recently upgraded with the IBM RS 6000 SP, thereby significantly increasing the attractivity of the two centers, since the joint portfolio of computer architectures now covers most of the applicationprofile of their users.
(source: Nielsen Book Data)
 Washington, D.C : United States. Dept. of Energy. Office of the Assistant Secretary for Defense Programs ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2000
 Description
 Book — 114 Kilobytes pages : digital, PDF file.
 Summary

The recent focus of microelectromechanicalsystems (MEMS) based instrumentation has largely dealt with increasing the throughput of established processes, including drug screening/drug discovery/combinatorial chemistry, or the miniaturization of accepted benchtop instruments. The miniaturization and automation of procedures that were previously performed manually are included in these activities. We suggest that BioMEMS instrumentation will adopt an additional direction, that of providing information and capabilities to the physician that are not available, today.
 Online
 Vainshtein, Boris K.
 Third, rev. edition.  Berlin, Heidelberg : Springer Berlin Heidelberg, 2000.
 Description
 Book — 1 online resource (xx, 520 pages 423 illustrations, 7 illustrations in color.) Digital: text file; PDF.
 Summary

 1. Principles of Formation of the Atomic Structure of Crystals. 1.1 The Structure of Atoms. 1.1.1 A Crystal as an Assembly of Atoms. 1.1.2 Electrons in an Atom. 1.1.3 Multielectron Atoms and the Periodic System. 1.2 Chemical Bonding Between Atoms. 1.2.1 Types of Chemical Bonding. 1.2.2 Ionic Bond. 1.2.3 Covalent Bond. ValenceBond Method. 1.2.4 Hybridization. Conjugation. 1.2.5 MolecularOrbital (MO) Method. 1.2.6 Covalent Bond in Crystals. 1.2.7 Electron Density in a Covalent Bond. 1.2.8 Metallic Bond. 1.2.9 Weak (van der Waals) Bonds. 1.2.10 Hydrogen Bonds. 1.2.11 Magnetic Ordering. 1.3 Energy of the Crystal Lattice. 1.3.1 Experimental Determination of the Crystal Energy. 1.3.2 Calculation of the Potential Energy. 1.3.3 Organic Structures. 1.4 Crystallochemical Radii Systems. 1.4.1 Interatomic Distances. 1.4.2 Atomic Radii. 1.4.3 Ionic Radii. 1.4.4 The System of AtomicIonic Radii of a Strong Bond. 1.4.5 System of Intermolecular Radii. 1.4.6 Weak and StrongBond Radii. 1.5 Geometric Regularities in the Atomic Structure of Crystals. 1.5.1 The Physical and the Geometric Model of a Crystal. 1.5.2 Structural Units of a Crystal. 1.5.3 MaximumFilling Principle. 1.5.4 Relationship Between the Symmetry of Structural Units and Crystal Symmetry. 1.5.5 Statistics of the Occurrence of Space Groups. 1.5.6 Coordination. 1.5.7 Classification of Structures According to the Dimensionality of Structural Groupings. 1.5.8 Coordination Structures. 1.5.9 Relationship Between Coordination and Atomic Sizes. 1.5.10 Closest Packings. 1.5.11 Structures of Compounds Based on Close Packing of Spheres. 1.5.12 Insular, Chain and Layer Structures. 1.6 Solid Solutions and Isomorphism. 1.6.1 Isostructural Crystals. 1.6.2 Isomorphism. 1.6.3 Substitutional Solid Solutions. 1.6.4 Interstitial Solid Solutions. 1.6.5 Modulated and Incommensurate Structures. 1.6.6 Composite Ultrastructures.
 2. Principal Types of Crystal Structures. 2.1 Crystal Structures of Elements. 2.1.1 Principal Types of Structures of Elements. 2.1.2 Cystallochemical Properties of Elements. 2.2 Intermetallic Structures. 2.2.1 Solid Solutions and Their Ordering. 2.2.2 Electron Compounds. 2.2.3 Intermetallic Compounds. 2.3 Structures with Bonds of Ionic Nature. 2.3.1 Structures of Halides, Oxides, and Salts. 2.3.2 Silicates. 2.3.3 Superionic Conductors. 2.4 Covalent Structures. 2.5 Structure of Complex and Related Compounds. 2.5.1 Complex Compounds. 2.5.2 Compounds with Metal Atom Clusters. 2.5.3 MetalMolecular Bonds (? Complexes of Transition Metals). 2.5.4 Compounds of Inert Elements. 2.6 Principles of Organic Crystal Chemistry. 2.6.1 The Structure of Organic Molecules. 2.6.2 Symmetry of Molecules. 2.6.3 Packing of Molecules in a Crystal. 2.6.4 Crystals with Hydrogen Bonds. 2.6.5 Clathrate and Molecular Compounds. 2.7 Structure of HighPolymer Substances. 2.7.1 Noncrystallographic Ordering. 2.7.2 Structure of Chain Molecules of High Polymers. 2.7.3 Structure of a Polymer Substance. 2.7.4 Polymer Crystals. 2.7.5 Disordering in Polymer Structures. 2.8 Structure of Liquid Crystals. 2.8.1 Molecule Packing in Liquid Crystals. 2.8.2 Types of LiquidCrystal Ordering. 2.9 Structures of Substances of Biological Origin. 2.9.1 Types of Biological Molecules. 2.9.2 Principles of Protein Structure. 2.9.3 Fibrous Proteins. 2.9.4 Globular Proteins. 2.9.5 Structure of Nucleic Acids. 2.9.6 Structure of Viruses. 3.Band Energy Structure of Crystals. 3.1 Electron Motion in the Ideal Crystal. 3.1.1 Schrodinger Equation and BornKarman Boundary Conditions. 3.1.2 Energy Spectrum of an Electron. 3.2 Brillouin Zones. 3.2.1 Energy Spectrum of an Electron in the WeakBond Approximation. 3.2.2 Faces of Brillouin Zones and the Laue Condition. 3.2.3 Band Boundaries and the Structure Factor. 3.3 Isoenergetic Surfaces. Fermi Surface and Band Structure. 3.3.1 Energy Spectrum of an Electron in the StrongBond Approximation. 3.3.2 Fermi Surfaces.
 4. Lattice Dynamics and Phase Transitions. 4.1 Atomic Vibrations in a Crystal. 4.1.1 Vibrations of a Linear Atomic Chain. 4.1.2 Vibration Branches. 4.1.3 Phonons. 4.2 Heat Capacity, Thermal Expansion, and Thermal Conductivity of Crystals. 4.2.1 Heat Capacity. 4.2.2 Linear Thermal Expansion. 4.2.3 Thermal Conductivity. 4.3 Polymorphism. Phase Transitions. 4.3.1 Phase Transitions of the First and Second Order. 4.3.2 Phase Transitions and the Structure. 4.4 Atomic Vibrations and Polymorphous Transitions. 4.5 OrderingType Phase Transitions. 4.6 Phase Transitions and ElectronPhonon Interaction. 4.6.1 Contribution of Electrons to the Free Energy of the Crystal. 4.6.2 Interband ElectronPhonon Interaction. 4.6.3 Photostimulated Phase Transitions. 4.6.4 Curie Temperature and the Energy Gap Width. 4.7 Debye's Equation of State and Griineisen's Formula. 4.8 Phase Transitions and Crystal Symmetry. 4.8.1 SecondOrder Phase Transitions. 4.8.2 Description of SecondOrder Transitions with an Allowance for the Symmetry. 4.8.3 Phase Transitions Without Changing the Number of Atoms in the Unit Cell of a Crystal. 4.8.4 Changes in Crystal Properties on Phase Transitions. 4.8.5 Properties of Twins (Domains) Forming on Phase Transformations. 4.8.6 Stability of the Homogeneous State of the LowSymmetry Phase.
 5. The Structure of Real Crystals. 5.1 Classification of Crystal Lattice Defects. 5.2 Point Defects of the Crystal Lattice. 5.2.1 Vacancies and Interstitial Atoms. 5.2.2 Role of Impurities, Electrons, and Holes. 5.2.3 Effect of External Influences. 5.3 Dislocations. 5.3.1 Burgers Circuit and Vector. 5.3.2 Elastic Field of Straight Dislocation. 5.3.3 Dislocation Reactions. 5.3.4 Polygonal Dislocations. 5.3.5 Curved Dislocations. 5.4 Stacking Faults and Partial Dislocations. 5.5 Continuum Description of Dislocations. 5.5.1 DisloeationDensity Tensor. 5.5.2 Example: A Dislocation Row. 5.5.3 Scalar Dislocation Density. 5.6 Subgrain Boundaries (Mosaic Structures) in Crystals. 5.6.1 Examples of Subgrain Boundaries: A Tilt Boundary and a Twist Boundary. 5.6.2 The Dislocation Structure of the Subgrain Boundry in General. 5.6.3 Subgrain Boundary Energy. 5.6.4 Incoherent Boundaries. 5.7 Twins 375. 5.7.1 Twinning Operations. 5.7.2 Twinning with a Change in Crystal Shape. 5.7.3 Twinning Without a Change in Shape. 5.8 Direct Observation of Lattice Defects. 5.8.1 Ionic Microscopy. 5.8.2 Electron Microscopy. 5.8.3 XRay Topography. 5.8.4 Photoelasticity Method. 5.8.5 Selective Etching Method. 5.8.6 Investigation of the Crystal Surface.
 6. Advances in Structural Crystallography. 6.1 Development of Structure Analysis. Data Banks. 6.2 Fullerenes and Fullendes. 6.2.1 Fullerenes. 6.2.2 C60 Crystals. 6.3 Crystal Chemistry of Silicates and Related Compounds. 6.3.1 Main Features of the Silicate Structures. 6.3.2 Insular Anionic Tetrahedron Complexes in Silicates. 6.3.3 Anionic Tetrahedron Complexes in the Form of Rings and Chains. 6.3.4 Framework Silicates. 6.3.5 Theoretical Methods for the Calculation of Silicate Structures. 6.4 Structure of Superconductors. 6.4.1 Superconductivity. 6.4.2 HighTemperature Superconductors (HTSCs). 6.4.3 Structure of MeCuO4 HighTc Superconductors. 6.4.4 Atomic Structure of YBaCu Phases. 6.4.5 Atomic Structure of TlPhases of HighTc Superconductors. 6.4.6 Specific Features of the Structure of HTSCs. 6.5 Modular Structures, Blocks, and Fragments. 6.5.1 The Notion of Modular Structures (MS). 6.5.2 Relationship Between Different Types of Modular Structures. 6.5.3 Symbolic Notations of MS 434. 6.5.4 StructureProperty Relations for MS. 6.6 XRay Analysis for Studying Chemical Bonding. 6.7 Organic Crystal Chemistry. 6.7.1 Organic Structures. 6.7.2 Large Organic Molecules. 6.7.3 Secondary Bonds. 6.8 Structure Investigation of Biomolecular Crystals. 6.8.1 Progress in the Methods of XRay Macromolecular Crystallography. 6.8.2 Investigation of Protein Structure by the Nuclear Magnetic Resonance (NMR) Method. 6.8.3 Dynamics of Protein Molecules. 6.8.4 Data on the Structure of Large Proteins. 6.8.5 XRay Investigation of Ribosomes. 6.8.6 Virus Structures. 6.9 Ordering in Liquid Crystals. 6.9.1 Smectic A Polymorphism in Liquid Crystals (LC) Containing Polar Molecules. 6.9.2 Smectic Lamellar Crystalline Phases and Hexatics. 6.9.3 Freely Suspended Smectic Films. 6.9.4 Cholesteric Blue Phases. 6.9.5 Ohter Liquid Crystalline Phases. 6.10 LangmuirBlodgett Films. 6.10.1 Principles of Formation. 6.10.2 Chemical Composition, Properties and Applications of LB Films. 6.10.3 Structure of LB Films. 6.10.4 Multicomponent LangmuirBlodgett Films. Superlattices. 6.11 Photo and Thermostimulated Phase Transitions in Ferroelectrics. 6.11.1 Photostimulated Phase Transitions in Ferroelectrics. 6.11.2 Thermostimulated Phase Transitions in Ferroelectrics. References.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
65. Diagnosis and Prediction [1999]
 Geisser, Seymour.
 New York, NY : Springer New York, 1999.
 Description
 Book — 1 online resource (ix, 148 pages) Digital: text file.PDF.
 Summary

 Comparision of treatments for otitis media using multiple diagnostic methods. The utility of the HuiWalter paradigm for the evaluation of diagnostic test in the analysis of social science data. On the optimal administration of multiple screening tests. Multinomial prediction intervals for microscale highway emissions. Survival analysis for interval data. Bayesian interim analysis of Weibull regression models with Gamma frailty. Monte Carlo minimization for one step ahead sequential control. Multivariate discrete models for longevity in twins. List of Participants.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
66. Homogenization of Reticulated Structures [1999]
 Cioranescu, D. (Doïna)
 New York, NY : Springer New York, 1999.
 Description
 Book — 1 online resource (xx, 346 pages 114 illustrations) Digital: text file.PDF.
 Summary

 1 Homogenization in Perforated Media.
 1. The General Method of Homogenization. 1.1 The OneDimensional Periodic Case. 1.2 A Model Example: the Thermal Problem. 1.3 Perforated Domains.
 2. The Homogeneous Neumann Problem. 2.1 Perforated Domains and Variational Formulation. 2.2 MultipleScale Method. 2.3 Extension Operators. 2.4 Convergence Theorems. 2.5 Domains with Nonisolated Holes. 2.6 Error Estimates.
 3. Other Boundary Value Problems. 3.1 The Dirichlet Problem. 3.2 Fourier Conditions. 3.3 Eigenvalue Problem. 2 LatticeType Structures.
 1. The TwoDimensional Case. 1.1 Statement of the Problem and the Main Theorem. 1.2 Proof of the Main Theorem: Technique of Dilatations. 1.3 Superposition Method. 1.4 Error Estimates.
 2. The ThreeDimensional Case. 2.1 Honeycomb Structures. 2.2 Reinforced Structures.
 3. Complex Structures and Loss of Ellipticity. 3.1 A General Method for Diagonal Bars. 3.2 Linearized Elasticity and Loss of Ellipticity. 3.3 Examples.
 4. Other Boundary Conditions. 4.1 The Dirichlet Problem. 4.2 Fourier Conditions. 4.3 Eigenvalue Problem. 3 Thermal Problems for Gridworks.
 1. Statement of the Problem.
 2. Case e = k?. 2.1 Change of Scale. 2.2 Limit for ? ? 0. 2.3 Limit for ? ? 0.
 3. Case ? ? e. 3.1 The MultipleScale Method. 3.2 The Variational Method. 3.3 Limit for e ? 0. 3.4 Limit for ? ? 0.
 4. Case e ? ?. 4.1 Limit for e ? 0. 4.2 Limit for ? ? 0. 4.3 Limit for ? ? 0. 4.4 Comparison of the Different Limits. 4 Elasticity Problems for Gridworks.
 1. Statement of the Problem.
 2. Limit Plate Behavior. 2.1 Main Result. 2.2 A Priori Estimates and Limits of Displacements. 2.3 Limits of Stresses and Moments and Limit Equations.
 3. Homogenization Result.
 4. Final Explicit Result and Loss of Ellipticity.
 5. Case ? ? e. 5.1 Limit for ? ? 0. 5.2 Limit for e ? 0. 5.3 Limit for ? ? 0. 5.4 Loss of Ellipticity.
 6. Plates Without Loss of Ellipticity.
 7. TimeDependent Plates Models: An Experimental Result. 5 Thermal Problems for Thin Tall Structures.
 1. Statement of the Problem.
 2. Case e = ??. 2.1 Limit for ? ? 0. 2.2 Limit for ? ? 0.
 3. Case ? ? e. 3.1 Limit for ? ? 0. 3.2 Limit for e ? 0, Then for ? ? 0. 3.3 Limit for ? ? 0. 3.4 Limit for e ? 0.
 4. Case e ? ?.
 5. Comparison of Limit Systems and Solutions.
 6. Numerical Results for a TwoDimensional Case. 6.1 Limit for ? ? 0. 6.2 Limit for e ? 0. 6.3 Numerical Computation of the Homogenized Solution. 6.4 Limit for ? ? 0. 6.5 Numerical Computation of the Solution V?.
 7. Generalization for a ThreeDimensional Structure. 7.1 Case e = ??. 7.2 Case ? ? e. 7.3 Case e ? ?. 6 Elasticity Problems for Thin Tall Structures.
 1. Statement of the Problem. 1.1 Geometric Assumptions. 1.2 Variational Formulation.
 2. Limit for e ? 0. 2.1 Change of Scale. 2.2 Assumptions on the Data. 2.3 Limit for e ?
 0: Beam Behaviour.
 3. Limit for e ?
 0: Homogenization.
 4. Limit for ? ? 0.
 5. Applications to Other Structures. 5.1 Towers. 5.2 Tall Structures with Oblique Bars. Final Comments. References.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Zarko, V. E.
 Dordrecht : Springer Netherlands, 1999.
 Description
 Book — 1 online resource (376 pages)
 Summary

 Preface. 1. Review on explosion events  a comparison of military and civil experiences C.O. Leiber, R.M. Doherty. 2. Explosions caused by fires at high explosives production B.N. Kondrikov. 3. Prediction of large scale fire behavior using nuterial flammability properties M.A. Delichatsios. 4. Use of modern composite materials of the chemical heat accumulator type for fire protection and fire extinguishing V.N. Parmon, et al. 5. Test method for ranking the fire properties of materials in space based facilities J.L. Cordova, et al. 6. From rocket exhaust plume to fire hazards  methods to analyse radiative heat flux V. Weiser, et al. 7. A review of computational fluid dynamics (CFD) modeling of gas explosions B.H. Hjertager, T. Solberg. 8. Detonation hazards of gaseous mixtures . . Vasil'ev. 9. Evaluation of hazard of spray detonation V.V. Mitrofanov, S.A. Zhdan. 10. Dispersioninitiation and detonation of liquid and dust aerosols  experiences derived from military fuelair explosives M. Samirant. 11. Hydrogen fire and explosion safety of atomic power plants Y.N. Shebeko. 12. Hydrogen accidents and their hazards . . Vasil'ev, et al. 13. Thinlayer boilover of pure or multicomponent fuels J.P. Garo, J.P. Vantelon. 14. Industrial accident modelling: consequences and risk E.A. Granovsky, et al. 15. The problems of porous flamearresters V.S. Babkin. 16. Ignition and extinction of solid propellants by thermal radiation L. De Luca, L. Galfetti. 17. An assessment of ignition hazard for shielded energetic materials and its relation to flammable chemicals A.G. Knyazeva, V.E. Zarko. 18. Application of high energy materials for commercial use
 the Indian scene H. Singh. 19. Modelling of fire effects on equipment engulfed in a fire E. PlanasCuchi, J. Casal. 20. Mathematical modeling of catastrophic explosions of dispersed aluminum dust A.V. Fedorov, et al. 21. Characteristics and applicability of radiothermal location system for the purpose of fire detection in Chernobyl NPP area I.I. Zarudnev, et al. 22. Limiting conditions of forest fires spreading and elaboration of the new methods to fight them A.M. Grishin. 23. Vortex powder method for extinguishing a fire on spouting gasoil wells D.G. Akhmetov, et al. 24. Nanosize electroexplosion powders: assessment of safety in the production and application G.V. Ivanov, et al. 25. Cold gas generators: multiple use in hazardous situations V.A. Shandakov, et al. 26. Fast response fire extinguishing systems based on military equipment B. Vetlicky, M. Krupka. 27. On nearlimiting mechanisms of catastrophic explosions penetrating through channels V.I. Manzalei. Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Washington, D.C. : United States. Dept. of Energy ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 1999
 Description
 Book — PDFFILE: 14 ; SIZE: 0 KBYTES pages
 Summary

Using CARM (Computer Aided Reduction Method), a computer program that automates the mechanism reduction process, a variety of different reduced chemical kinetic mechanisms for ethylene and nheptane have been generated. The reduced mechanisms have been compared to detailed chemistry calculations in simple homogeneous reactors and experiments. Reduced mechanisms for combustion of ethylene having as few as 10 species were found to give reasonable agreement with detailed chemistry over a range of stoichiometries and showed significant improvement over currently used global mechanisms. The performance of reduced mechanisms derived from a large detailed mechanism for nheptane was compared to results from a reduced mechanism derived from a smaller semiempirical mechanism. The semiempirical mechanism was advantageous as a starting point for reduction for ignition delay, but not for PSR calculations. Reduced mechanisms with as few as 12 species gave excellent results for nheptane/air PSR calculations but 1625 or more species are needed to simulate nheptane ignition delay.
 Online
 Washington, D.C. : United States. Dept. of Energy. Office of Energy Efficiency and Renewable Energy ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 1999
 Description
 Book — 416 Kilobytes pages : digital, PDF file.
 Summary

This paper uses the HCT (Hydrodynamics, Chemistry and Transport) chemical kinetics code to analyze natural gas HCCI combustion in an engine. The HCT code has been modified to better represent the conditions existing inside an engine, including a wall heat transfer correlation. Combustion control and low power output per displacement remain as two of the biggest challenges to obtaining satisfactory performance out of an HCCI engine, and these are addressed in this paper. The paper considers the effect of natural gas composition on HCCI combustion, and then explores three control strategies for HCCI engines: DME (dimethyl ether) addition, intake heating and hot EGR addition. The results show that HCCI combustion is sensitive to natural gas composition, and an active control may be required to compensate for possible changes in composition. The three control strategies being considered have a significant effect in changing the combustion parameters for the engine, and should be able to control HCCI combustion.
 Online
 Washington, D.C. : United States. Dept. of Energy. ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 1998
 Description
 Book — 1 online resource (11 p. ) : digital, PDF file.
 Summary

This report describes a video presentation designed to introduce science to middle and high school science classes as a field which is attractive to women. It is designed to facilitate thought and discussion on the issue of gender stereotypes and discrimination, and is intended for use as part of a curriculum plan which will discuss these issues.
 Online
71. Laboratory directed research and development [electronic resource] : FY 1997 progress report [1998]
 Washington, D.C. : United States. Dept. of Energy. ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 1998
 Description
 Book — 1 online resource (315 p. ) : digital, PDF file.
 Summary

This is the FY 1997 Progress Report for the Laboratory Directed Research and Development (LDRD) program at Los Alamos National Laboratory. It gives an overview of the LDRD program, summarizes work done on individual research projects, relates the projects to major Laboratory program sponsors, and provides an index to the principal investigators. Project summaries are grouped by their LDRD component: Competency Development, Program Development, and Individual Projects. Within each component, they are further grouped into nine technical categories: (1) materials science, (2) chemistry, (3) mathematics and computational science, (4) atomic and molecular physics and plasmas, fluids, and particle beams, (5) engineering science, (6) instrumentation and diagnostics, (7) geoscience, space science, and astrophysics, (8) nuclear and particle physics, and (9) bioscience.
 Online
72. Maple V : Learning Guide [1998]
 Heal, K. M.
 New York, NY : Springer New York, 1998.
 Description
 Book — 1 online resource (ix, 284 pages 164 illustrations, 8 illustrations in color.) Digital: text file.PDF.
 Summary

 1. Interactive Use of Maple. 1.1 The Worksheet Interface. 1.2 Tutorial
 1: Solving Problems. 1.3 Tutorial
 2: Managing Expressions through the Worksheet Interface. Spreadsheets. Palettes. Smart Plots. 1.4 Tutorial
 3: Documenting Your Work. Adding a Title. Adding Headings. Inline Mathematics. 1.5 Tutorial
 4: Multiple Worksheets. Drag and Drop. Adding Hyperlinks. Bookmarks. 1.6 Tutorial
 5: Getting Help. The Contents of the Help System. Searching by Topic. Full Text Searching. 1.7 Conclusion.
 2. Mathematics with Maple: the Basics. 2.1 Introduction. 2.2 Numerical Computations. Integer Computations. Exact ArithmeticRationals, Irrationals, and Constants. FloatingPoint Approximations. Arithmetic with Special Numbers. Mathematical Functions. 2.3 Basic Symbolic Computations. 2.4 Assigning Names to Expressions. 2.5 More Basic Types of Maple Objects. Expression Sequences. Lists. Sets. Operations on Sets and Lists. Arrays. Tables. Strings. 2.6 Expression Manipulation. The simplify Command. The factor Command. The expand Command. The convert Command. The normal Command. The combine Command. The map Command. The lhs and rhs Commands. The numer and denom Commands. The nops and op Commands. Common Questions about Expression Manipulation. 2.7 Conclusion.
 3. Finding Solutions. 3.1 Simple solve. Verifying Solutions. Restricting Solutions. Exploring Solutions. The unapply Command. The assign Command. The RootOf Command. 3.2 Solving Numerically: fsolve. Limitations on solve. 3.3 Other Solvers. Finding Integer Solutions. Finding Solutions Modulo m. Solving Recurrence Relations. 3.4 Polynomials. Sorting and Collecting. Mathematical Operations. Coefficients and Degrees. Root Finding and Factorization. 3.5 Calculus. 3.6 Differential Equations: dsolve. 3.7 The Organization of Maple. 3.8 The Maple Packages. List of Packages. The Student Calculus Package. The Linear Algebra Package. The Matlab Package. The Statistics Package. The Linear Optimization Package. 3.9 Conclusion.
 4. Graphics. 4.1 Graphing in Two Dimensions. Parametric Plots. Polar Coordinates. Functions with Discontinuities. Multiple Plots. Plotting Data Points. Refining Plots. 4.2 Graphing in Three Dimensions. Parametric Plots. Spherical Coordinates. Cylindrical Coordinates. Refining Plots. Shading and Lighting Schemes. 4.3 Animation. Animation in Two Dimensions. Animation in Three Dimensions. 4.4 Annotating Plots. 4.5 Composite Plots. Placing Text in Plots. 4.6 Special Types of Plots. 4.7 Manipulating Graphical Objects. 4.8 Conclusion.
 5. Evaluation and Simplification. 5.1 Mathematical Manipulations. Expanding Polynomials as Sums. Collecting the Coefficients of Like Powers. Factoring Polynomials and Rational Functions. Removing Rational Exponents. Combining Terms. Factored Normal Form. Simplifying Expressions. Simplification with Assumptions. Simplification with Side Relations. Sorting Algebraic Expressions. Converting Between Equivalent Forms. 5.2 The Assume Facility. 5.3 Structural Manipulations. Mapping a Function onto a List or Set. Choosing Elements from a List or Set. Merging Two Lists. Sorting Lists. The Parts of an Expression. Substitution. Changing the Type of an Expression. 5.4 Evaluation Rules. Levels of Evaluation. LastName Evaluation. OneLevel Evaluation. Commands with Special Evaluation Rules. Quotation and Unevaluation. Using Quoted Variables as Function Arguments. Concatenation of Names. 5.5 Conclusion.
 6. Examples from Calculus. 6.1 Introductory Calculus. The Derivative. A Taylor Approximation. The Integral. Mixed Partial Derivatives. 6.2 Ordinary Differential Equations. The dsolve Command. Example: Taylor Series. When You Cannot Find a Closed Form Solution. Plotting Ordinary Differential Equations. Discontinuous Forcing Functions. 6.3 Partial Differential Equations. The pdsolve Command. Changing the Dependent Variable in a PDE. Plotting Partial Differential Equations. 6.4 Conclusion.
 7. Input and Output. 7.1 Reading Files. Reading Columns of Numbers from a File. Reading Commands from a File. 7.2 Writing Data to a File. Writing Columns of Numerical Data to a File. Saving Expressions in Maple's Internal Format. Converting to LATEX Format. 7.3 Exporting Whole Worksheets. Plain Text. Maple Text. LATEX. HTML. 7.4 Printing Graphics. 7.5 Conclusion.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
73. Mathematics of Multiscale Materials [1998]
 Golden, Kenneth M.
 New York, NY : Springer New York, 1998.
 Description
 Book — 1 online resource (x, 287 pages) Digital: text file.PDF.
 Summary

 Scaling limit for the incipient spanning clusters. Bounded and unbounded level lines in twodimensional random fields. Transversely isotropic poroelasticity arising from thin isotropic layers. Bounds on the effective elastic properties of martensitic polycrystals. Statistical models for fracture. Normal and anomalous diffusions in random flows. Calculating the mechanical properties of materials from interatomic forces. Granular media: some new results. Elastic freedom in cellular solids and composite materials. Weakly nonlinear conductivity and flicker noise near percolation. Fine properties of solutions to conductivity equations with applications to composites. Composite sensors and actuators. Bounding the effective yield behavior of mixtures. Upper bounds on electrorheological properties. On spatiotemporal patterns in composite reactive media. Equilibrium shapes of islands in epitaxially strained solid films. Numerical simulation of the effective elastic properties of a class of cell materials.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Washington, D.C. : United States. Dept. of Energy. ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 1997
 Description
 Book — 1 online resource (112 p. ) : digital, PDF file.
 Summary

The Ernest Orlando Lawrence Berkeley National Laboratory (Berkeley Lab) Laboratory Directed Research and Development Program FY 1996 report is compiled from annual reports submitted by principal investigators following the close of the fiscal year. This report describes the projects supported and summarizes their accomplishments. It constitutes a part of the Laboratory Directed Research and Development (LDRD) program planning and documentation process that includes an annual planning cycle, projection selection, implementation, and review. The Berkeley Lab LDRD program is a critical tool for directing the Laboratory`s forefront scientific research capabilities toward vital, excellent, and emerging scientific challenges. The program provides the resources for Berkeley Lab scientists to make rapid and significant contributions to critical national science and technology problems. The LDRD program also advances the Laboratory`s core competencies, foundations, and scientific capability, and permits exploration of exciting new opportunities. Areas eligible for support include: (1) Work in forefront areas of science and technology that enrich Laboratory research and development capability; (2) Advanced study of new hypotheses, new experiments, and innovative approaches to develop new concepts or knowledge; (3) Experiments directed toward proof of principle for initial hypothesis testing or verification; and (4) Conception and preliminary technical analysis to explore possible instrumentation, experimental facilities, or new devices.
 Online
75. Laboratorydirected research and development [electronic resource] : FY 1996 progress report [1997]
 Washington, D.C. : United States. Dept. of Energy. ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 1997
 Description
 Book — 1 online resource (312 p. ) : digital, PDF file.
 Summary

This report summarizes the FY 1996 goals and accomplishments of LaboratoryDirected Research and Development (LDRD) projects. It gives an overview of the LDRD program, summarizes work done on individual research projects, and provides an index to the projects` principal investigators. Projects are grouped by their LDRD component: Individual Projects, Competency Development, and Program Development. Within each component, they are further divided into nine technical disciplines: (1) materials science, (2) engineering and base technologies, (3) plasmas, fluids, and particle beams, (4) chemistry, (5) mathematics and computational sciences, (6) atomic and molecular physics, (7) geoscience, space science, and astrophysics, (8) nuclear and particle physics, and (9) biosciences.
 Online
 PARA '95 (1995 : Lyngby, Denmark)
 Berlin ; New York : Springer, 1996.
 Description
 Book — 1 online resource (562 pages) : illustrations
 Summary

 A high performance matrix multiplication algorithm for MPPs. Iterative moment method for electromagnetic transients in grounding systems on CRAY T3D. Analysis of crystalline solids by means of a parallel FEM method. Parallelization strategies for Tree Nbody codes. Numerical solution of stochastic differential equations on transputer network. Development of a stencil compiler for onedimensional convolution operators on the CM5. Automatic parallelization of the AVL FIRE benchmark for a distributedmemory system. 2D cellular automata and short range molecular dynamics programs for simulations on networked workstations and parallel computers. Pablobased performance monitoring tool for PVM applications. Linear algebra computation on parallel machines. A neural classifier for radar images. ScaLAPACK: A portable linear algebra library for distributed memory computers  Design issues and performance. A proposal for a set of parallel basic linear algebra subprograms. Parallel implementation of a Lagrangian stochastic particle model of turbulent dispersion in fluids. Reduction of a regular matrix pair (A, B) to block Hessenbergtriangular form. Parallelization of algorithms for neural networks. Paradigms for the parallelization of Branch&Bound algorithms. Threedimensional version of the Danish Eulerian Model. A proposal for a Fortran 90 interface for LAPACK. ScaLAPACK tutorial. Highly parallel concentrated heterogeneous computing. Adaptive polynomial preconditioning for the conjugate gradient algorithm. The IBM parallel engineering and scientific subroutine library. Some preliminary experiences with sparse BLAS in parallel iterative solvers. Load balancing in a Network Flow Optimization code. Userlevel VSM optimization and its application. Benchmarking the cache memory effect. Efficient Jacobi algorithms on multicomputers. Front tracking: A parallelized approach for internal boundaries and interfaces. Program generation techniques for the development and maintenance of numerical weather forecast Grid models. High performance computational chemistry: NWChem and fully distributed parallel applications. Parallel abinitio molecular dynamics. Dynamic domain decomposition and load balancing for parallel simulations of longchained molecules. Concurrency in feature analysis. A parallel iterative solver for almost blockdiagonal linear systems. Distributed general matrix multiply and add for a 2D mesh processor network. Distributed and parallel computing of shortrange molecular dynamics. Lattice field theory in a parallel environment. Parallel time independent quantum calculations of atom diatom reactivity. Parallel oil reservoir simulation. Formal specification of multicomputers. Multimillion particle molecular dynamics on MPPs. Wave propagation in urban microcells: a massively parallel approach using the TLM method. The NAG Numerical PVM Library. Cellular automata modeling of snow transport by wind. Parallel algorithm for mapping of parallel programs into pyramidal multiprocessor. Dataparallel molecular dynamics with neighborlists. Visualizing astrophysical 3D MHD turbulence. A parallel sparse QRfactorization algorithm. Decomposing linear programs for parallel solution. A parallel computation of the NavierStokes equation for the simulation of free surface flows with the volume of fluid method. Improving the performance of parallel triangularization of a sparse matrix using a reconfigurable multicomputer. Comparison of two imagespace subdivision algorithms for Direct Volume Rendering on distributedmemory multicomputers. Communication harnesses for transputer systems with tree structure and cube structure. A thorough investigation of the projector quantum Monte Carlo method using MPP technologies. Distributed simulation of a set of elastic macro objects. Parallelization of ab initio molecular dynamics method. Parallel computations with large atmospheric models.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
77. Fractals and Disordered Systems [1996]
 Bunde, Armin.
 Second rev. and enlarged edition.  Berlin, Heidelberg : Springer Berlin Heidelberg, 1996.
 Description
 Book — 1 online resource (xxii, 408 pages 165 illustrations, 25 illustrations in color.)
 Summary

 1 Fractals and Multifractals: The Interplay of Physics and Geometry (With 30 Figures). 1.1 Introduction. 1.2 Nonrandom Fractals. 1.3 Random Fractals: The Unbiased Random Walk. 1.4 The Concept of a Characteristic Length. 1.5 Functional Equations and Fractal Dimension. 1.6 An Archetype: Diffusion Limited Aggregation. 1.7 DLA: Fractal Properties. 1.8 DLA: Multifractal Properties. 1.8.1 General Considerations. 1.8.2 "Phase Transition" in 2d DLA. 1.8.3 The VoidChannel Model of 2d DLA Growth. 1.8.4 Multifractal Scaling of 3d DLA. 1.9 Scaling Properties of the Perimeter of 2d DLA: The "Glove" Algorithm. 1.9.1 Determination of the l Perimeter. 1.9.2 The l Gloves. 1.9.3 Necks and Lagoons. 1.10 Multiscaling. 1.11 The DLA Skeleton. 1.12 Applications of DLA to Fluid Mechanics. 1.12.1 Archetype 1: The Ising Model and Its Variants. 1.12.2 Archetype 2: Random Percolation and Its Variants. 1.12.3 Archetype 3: The Laplace Equation and Its Variants. 1.13 Applications of DLA to Dendritic Growth. 1.13.1 Fluid Models of Dendritic Growth. 1.13.2 Noise Reduction. 1.13.3 Dendritic Solid Patterns: "Snow Crystals". 1.13.4 Dendritic Solid Patterns: Growth of NH4Br. 1.14 Other Fractal Dimensions. 1.14.1 The Fractal Dimension dw of a Random Walk. 1.14.2 The Fractal Dimension dmin ? 1/?? of the Minimum Path. 1.14.3 Fractal Geometry of the Critical Path: "Volatile Fractals". 1.15 Surfaces and Interfaces. 1.15.1 SelfSimilar Structures. 1.15.2 SelfAffine Structures. 1.A Appendix: Analogies Between Thermodynamics and Multifractal Scaling. References. 2 Percolation I (With 24 Figures). 2.1 Introduction. 2.2 Percolation as a Critical Phenomenon. 2.3 Structural Properties. 2.4 Exact Results. 2.4.1 OneDimensional Systems. 2.4.2 The Cayley Tree. 2.5 Scaling Theory. 2.5.1 Scaling in the Infinite Lattice. 2.5.2 Crossover Phenomena. 2.5.3 FiniteSize Effects. 2.6 Related Percolation Problems. 2.6.1 Epidemics and Forest Fires. 2.6.2 Kinetic Gelation. 2.6.3 Branched Polymers. 2.6.4 Invasion Percolation. 2.6.5 Directed Percolation. 2.7 Numerical Approaches. 2.7.1 HoshenKopelman Method. 2.7.2 Leath Method. 2.7.3 Ziff Method. 2.8 Theoretical Approaches. 2.8.1 Deterministic Fractal Models. 2.8.2 Series Expansion. 2.8.3 SmallCell Renormalization. 2.8.4 Potts Model, Field Theory, and ? Expansion. 2.A Appendix: The Generating Function Method. References. 3 Percolation II (With 20 Figures). 3.1 Introduction. 3.2 Anomalous Transport in Fractals. 3.2.1 Normal Transport in Ordinary Lattices. 3.2.2 Transport in Fractal Substrates. 3.3 Transport in Percolation Clusters. 3.3.1 Diffusion in the Infinite Cluster. 3.3.2 Diffusion in the Percolation System. 3.3.3 Conductivity in the Percolation System. 3.3.4 Transport in TwoComponent Systems. 3.3.5 Elasticity in TwoComponent Systems. 3.4 Fractons. 3.4.1 Elasticity. 3.4.2 Vibrations of the Infinite Cluster. 3.4.3 Vibrations in the Percolation System. 3.4.4 Quantum Percolation. 3.5 ac Transport. 3.5.1 LatticeGas Model. 3.5.2 Equivalent Circuit Model. 3.6 Dynamical Exponents. 3.6.1 Rigorous Bounds. 3.6.2 Numerical Methods. 3.6.3 Series Expansion and Renormalization Methods. 3.6.4 Continuum Percolation. 3.6.5 Summary of Transport Exponents. 3.7 Multifractals. 3.7.1 Voltage Distribution. 3.7.2 Random Walks on Percolation. 3.8 Related Transport Problems. 3.8.1 Biased Diffusion. 3.8.2 Dynamic Percolation. 3.8.3 The Dynamic Structure Model of Ionic Glasses. 3.8.4 Trapping and Diffusion Controlled Reactions. References. 4 Fractal Growth (With 4 Figures). 4.1 Introduction. 4.2 Fractals and Multifractals. 4.3 Growth Models. 4.3.1 Eden Model. 4.3.2 Percolation. 4.3.3 Invasion Percolation. 4.4 Laplacian Growth Model. 4.4.1 Diffusion Limited Aggregation. 4.4.2 Dielectric Breakdown Model. 4.4.3 Viscous Fingering. 4.4.4 Biological Growth Phenomena. 4.5 Aggregation in Percolating Systems. 4.5.1 Computer Simulations. 4.5.2 Viscous Fingers Experiments. 4.5.3 Exact Results on Model Fractals. 4.5.4 Crossover to Homogeneous Behavior. 4.6 Crossover in Dielectric Breakdown with Cutoffs. 4.7 Is Growth Multifractal?. 4.8 Conclusion. References. 5 Fractures (With 18 Figures). 5.1 Introduction. 5.2 Some Basic Notions of Elasticity and Fracture. 5.2.1 Phenomenological Description. 5.2.2 Elastic Equations of Motion. 5.3 Fracture as a Growth Model. 5.3.1 Formulation as a Moving Boundary Condition Problem. 5.3.2 Linear Stability Analysis. 5.4 Modelisation of Fracture on a Lattice. 5.4.1 Lattice Models. 5.4.2 Equations and Their Boundary Conditions. 5.4.3 Connectivity. 5.4.4 The Breaking Rule. 5.4.5 The Breaking of a Bond. 5.4.6 Summary. 5.5 Deterministic Growth of a Fractal Crack. 5.6 Scaling Laws of the Fracture of Heterogeneous Media. 5.7 Hydraulic Fracture. 5.8 Conclusion. References. 6 Transport Across Irregular Interfaces: Fractal Electrodes, Membranes and Catalysts (With 8 Figures). 6.1 Introduction. 6.2 The Electrode Problem and the Constant Phase Angle Conjecture. 6.3 The Diffusion Impedance and the Measurement of the MinkowskiBouligand Exterior Dimension. 6.4 The Generalized Modified Sierpinski Electrode. 6.5 A General Formulation of Laplacian Transfer Across Irregular Surfaces. 6.6 Electrodes, Roots, Lungs,
 6.7 Fractal Catalysts. 6.8 Summary. References. 7 Fractal Surfaces and Interfaces (With 27 Figures). 7.1 Introduction. 7.2 Rough Surfaces of Solids. 7.2.1 SelfAffine Description of Rough Surfaces. 7.2.2 Growing Rough Surfaces: The Dynamic Scaling Hypothesis. 7.2.3 Deposition and Deposition Models. 7.2.4 Fractures. 7.3 Diffusion Fronts: Natural Fractal Interfaces in Solids. 7.3.1 Diffusion Fronts of Noninteracting Particles. 7.3.2 Diffusion Fronts in d = 3. 7.3.3 Diffusion Fronts of Interacting Particles. 7.3.4 Fluctuations in Diffusion Fronts. 7.4 Fractal FluidFluid Interfaces. 7.4.1 Viscous Fingering. 7.4.2 Multiphase Flow in Porous Media. 7.5 Membranes and Tethered Surfaces. 7.6 Conclusions. References. 8 Fractals and Experiments (With 18 Figures). 8.1 Introduction. 8.2 Growth Experiments: How to Make a Fractal. 8.2.1 The Generic DLA Model. 8.2.2 Dielectric Breakdown. 8.2.3 Electrodeposition. 8.2.4 Viscous Fingering. 8.2.5 Invasion Percolation. 8.2.6 Colloidal Aggregation. 8.3 Structure Experiments: How to Determine the Fractal Dimension. 8.3.1 Image Analysis. 8.3.2 Scattering Experiments. 8.3.3 Sacttering Formalism. 8.4 Physical Properties. 8.4.1 Mechanical Properties. 8.4.2 Thermal Properties. 8.5 Outlook. References. 9 Cellular Automata (With 6 Figures). 9.1 Introduction. 9.2 A Simple Example. 9.3 The Kauffman Model. 9.4 Classification of Cellular Automata. 9.5 Recent Biologically Motivated Developments. 9.A Appendix. 9.A.1 Q2R Approximation for Ising Models. 9.A.2 Immunologically Motivated Cellular Automata. 9.A.3 Hydrodynamic Cellular Automata. References. 10 Exactly Selfsimilar Leftsided Multifractals with new Appendices B and C by Rudolf H. Riedi and Benoit B. Mandelbrot (With 10 Figures). 10.1 Introduction. 10.1.1 Two Distinct Meanings of Multifractality. 10.1.2 "Anomalies". 10.2 Nonrandom Multifractals with an Infinite Base. 10.3 Leftsided Multifractality with Exponential Decay of Smallest Probability. 10.4 A Gradual Crossover from Restricted to Leftsided Multifractals. 10.5 Preasymptotics. 10.5.1 Sampling of Multiplicatively Generated Measures by a Random Walk. 10.5.2 An "Effective" f(?). 10.6 Miscellaneous Remarks. 10.7 Summary. 10.A Details of Calculations and Further Discussions. 10.A.1 Solution of (10.2). 10.A.2 The Case ?min = 0. 10.B Multifractal Formalism for Infinite Multinomial Measures, by R.H. Riedi and B.B. Mandelbrot. 10.C The Minkowski Measure and Its Leftsided f(?), by B.B. Mandelbrot. 10.C.1 The Minkowski Measure on the Interval [0,1]. 10.C.2 The Functions f(?) and f?(?) of the Minkowski Measure. 10.C.3 Remark: On Continuous Models as Approximations, and on "Thermodynamics". 10.C.4 Remark on the Role of the Minkowski Measure in the Study of Dynamical Systems. Parabolic Versus Hyperbolic Systems. 10.C.5 In Lieu of Conclusion. References.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
78. Laboratory directed research and development. FY 1995 progress report [electronic resource]. [1996]
 Washington, D.C. : United States. Dept. of Energy. ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 1996
 Description
 Book — 1 online resource (337 p. ) : digital, PDF file.
 Summary

This document presents an overview of Laboratory Directed Research and Development Programs at Los Alamos. The nine technical disciplines in which research is described include materials, engineering and base technologies, plasma, fluids, and particle beams, chemistry, mathematics and computational science, atmic and molecular physics, geoscience, space science, and astrophysics, nuclear and particle physics, and biosciences. Brief descriptions are provided in the above programs.
 Online
 Shafer, Wade H.
 Boston, MA : Springer US, 1996.
 Description
 Book — 1 online resource (430 pages)
 Summary

 Master Theses Listed by Study Discipline*
 1. Aerospace Engineering
 2. Agricultural Economics, Sciences and Engineering
 3. Architectural Engineering and Urban Planning
 4. Astronomy
 5. Astrophysics
 6. Ceramic Engineering
 7. Chemical Engineering
 8. Chemistry and Biochemistry
 9. Civil Engineering
 10. Communications Engineering and Computer Science
 11. Cryogenic Engineering
 12. Electrical Engineering
 13. Engineering Mechanics
 14. Engineering Physics
 15. Engineering Science
 16. Fuels, Combustion and Air Pollution
 17. General and Environmental Engineering
 18. Geochemistry and Soil Science
 19. Geological Sciences and Geophysical Engineering
 20. Geology and Earth Science
 21. Geophysics
 22. Industrial Engineering and Operations Research
 23. Irrigation Engineering
 24. Marine and Ocean Engineering
 25. Materials Science and Engineering
 26. Mechanical Engineering and Bioengineering
 27. Metallurgy
 28. Meteorology and Atmospheric Science
 29. Mineralogy and Petrology
 30. Mining and Metallurgical Engineering
 31. Missile and Space Systems Engineering
 32. Nuclear Engineering
 33. Nuclear Physics
 34. Nuclear Science
 35. Oceanography and Marine Science
 36. Petroleum and Natural Gas Engineering
 37. Photogrammetric and Geodetic Engineering
 38. Physics and Biophysics
 39. Plastics Engineering
 40. Wood Technology, Forestry and Forest Science
 41. Reactor Science
 42. Sanitary Engineering, Water Pollution and Resources
 43. Textile Technology
 44. Transportation Engineering
 Theses without Specification of School or Department.
 Berlin ; New York : SpringerVerlag, c1996.
 Description
 Book — 371 p. ; 28 cm. + 1 computer laser optical disc ; 4 3/4 in.
 Online
Science Library (Li and Ma)
Science Library (Li and Ma)  Status 

Retired Reference


QC61 .L332 INDEX 1996  Inlibrary use 
81. Applied parallel computing [1995 ]
 PARA.
 Berlin ; New York : SpringerVerlag, c1995
 Description
 Journal/Periodical — v. : ill. ; 24 cm.
SAL3 (offcampus storage)
SAL3 (offcampus storage)  Status 

Stacks
BEGINNING WITH 2000, SUBSERIES CLASSED AS SEPARATES 
Request (opens in new tab) 
QA76.58 .P35 2ND 1995  Available 
QA76.58 .P35 3RD 1996  Available 
QA76.58 .P35 4TH 1998  Available 
 Awrejcewicz, J. (Jan)
 Berlin, Heidelberg : Springer Berlin Heidelberg, 1995.
 Description
 Book — 1 online resource (xii, 272 pages 135 illustrations) Digital: text file; PDF.
 Summary

 Quantum Chaos and Ergodic Theory.
 1. Introduction.
 2. Definition of Quantum Chaos.
 3. The Time Scales of Quantum Dynamics.
 4. The Quantum Steady State.
 5. Concluding Remarks. References. On the Complete Characterization of Chaotic Attractors.
 1. Introduction.
 2. Scaling Behavior. 2.1 Scale Invariance. 2.2 Nonunified Approach.
 3. Unified Approach. 3.1 The Generalized Entropy Function. 3.2 Hyperbolic Models with Complete Grammars.
 4. Extensions. 4.1 The Need for Extensions. 4.2 Convergence Properties. 4.3 Nonhyperbolicity and PhaseTransitions. 5 Conclusions. References. New Numerical Methods for High Dimensional Hopf Bifurcation Problems.
 1. Introduction.
 2. Static Bifurcation and PseudoArclength Method.
 3. The Numerical Methods for Hopf Bifurcation.
 4. Examples. References. Catastrophe Theory and the VibroImpact Dynamics of Autonomous Oscillators.
 1. Introduction.
 2. Generalities on VibroImpact Dynamics.
 3. The Geometry of Singularity Subspaces.
 4. Continuity of the Poincare Map of the S/U Oscillator. References. Codimension Two Bifurcation and Its Computational Algorithm.
 1. Introduction.
 2. Bifurcations of Fixed Point. 2.1 The Poincare Map and Property of Fixed Points. 2.2 Codimension One Bifurcations. 2.3 Codimension Two Bifurcations.
 3. Computational Algorithms. 3.1 Derivatives of the Poincare Map. 3.2 Numerical Method of Analysis.
 4. Numerical Examples. 4.1 Circuit Model for Chemical Oscillation at a WaterOil Interface. 4.2 Coupled Oscillator with a Sinusoidal Current Source.
 5. Concluding Remarks. References. Chaos and Its Associated Oscillations in Josephson Circuits.
 1. Introduction.
 2. Model of Josephson Junction.
 3. Chaos in a Forced Oscillation Circuit.
 4. Autonomous Josephson Circuit. 4.1 Introduction. 4.2 Results of Calculation.
 5. Distributed Parameter Circuit.
 6. Conclusion. References. Chaos in Systems with Magnetic Force.
 1. Introduction.
 2. System of Two Conducting Wires. 2.1 Formulation of Dynamical Equations. 2.2 Analytical Procedure. 2.3 Numerical Simulation of Chaos.
 3. MultiEquilibrium Magnetoelastic Systems. 3.1 Theoretical Models. 3.2 Numerical Simulation. 3.3 Experiment.
 4. Magnetic Levitation Systems. 4.1 Formulation of Dynamic Equations. 4.2 Linearization in Terms of Manifolds. 4.3 Numerical Simulation. 4.4 Conclusion. References. Bifurcation and Chaos in the HelmholtzDuffing Oscillator.
 1. Mechanical System and Mathematical Model.
 2. Behaviour Chart and Characterization of Chaotic Response.
 3. Prediction of Local Bifurcations of Regular Solutions.
 4. Geometrical Description of System Response Using AttractorBasin Portraits and Invariant Manifolds.
 5. Conclusions. References. Bifurcations and Chaotic Motions in Resonantly Excited Structures.
 1. Introduction.
 2. Nonlinear Structural Members. 2.1 Strings. 2.2 Beams. 2.3 Cylindrical Shells and Rings. 2.4 Plates.
 3. Resonant Motions of Rectangular Plates with Internal and External Resonances. 3.1 Equations of Motion. 3.2 Averaged Equations. 3.3 SteadyState Constant Solutions. 3.4 Stability Analysis of Constant Solutions. 3.5 Periodic and Chaotic Solutions of Averaged Equations.
 4. Summary and Conclusions. References. NonLinear Behavior of a Rectangular Plate Exposed to Airflow.
 1. Introduction.
 2. Mathematical Model.
 3. Threshold Determination of Periodic Oscillations.
 4. Dynamics Past the Hopf Bifurcation Point.
 5. Summary and Concluding Remarks. References.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Washington, D.C. : United States. Dept. of Energy. ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 1995
 Description
 Book — 1 online resource (50 p. ) : digital, PDF file.
 Summary

The Library Services Alliance is a unique multitype library consortium committed to resource sharing. As a voluntary association of university and governmental laboratory libraries supporting scientific research, the Alliance has become a leader in New Mexico in using cooperative ventures to costeffectively expand resources supporting their scientific and technical communities. During 1994, the alliance continued to expand on their strategic planning foundation to enhance access to research information for the scientific and technical communities. Significant progress was made in facilitating easy access to the online catalogs of member libraries via connections through the Internet. Access to Alliance resources is now available via the World Wide Web and Gopher, as well as links to other databases and electronic information. This report highlights the accomplishments of the Alliance during calendar year 1994.
 Online
 Huijsmans, C. B.
 Basel : Birkhäuser Basel, 1995.
 Description
 Book — 1 online resource (309 pages) Digital: text file.PDF.
 Summary

 Biographical notes
 List of Publications of A.C. Zaanen
 Curriculum Vitae of A.C. Zaanen
 Another characterization of the invariant subspace problem
 Matrix Young inequalities
 Principal eigenvalues and perturbation
 Inputoutput operators of Junitary timevarying continuous time systems
 Optimization without compactness, and its applications
 On a submajorization inequality of T. Ando
 Spectral theory on Banach lattices
 Disjointness preserving operators on Banach lattices
 The DaniellStoneRiesz representation theorem
 Diagonals of the powers of an operator on a Banach lattice
 A characterization of Lipschitz continuous evolution families on Banach spaces
 On the VitaliHahnSaks theorem
 Minkowski's integral inequality for function norms
 Program of the 1993 Zaanen Symposium.
 Washington, D.C. : United States. Dept. of Energy. ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 1995
 Description
 Book — 294 p. : digital, PDF file.
 Summary

Presented topics varied over many fields in science and engineering. Botany on grasses in California, real time face recognition technology, thermogravimetric studies on corrosion and finite element modeling of the human pelvis are examples of discussed subjects. Further fields of study are carcinogenics, waste management, radar imaging, automobile accessories, document searching on the internet, and shooting stars. Individual papers are indexed separately on EDB.
 Online
86. Structure of Crystals [1995]
 Vainshtein, Boris K.
 Second, enlarged edition.  Berlin, Heidelberg : Springer Berlin Heidelberg, 1995.
 Description
 Book — 1 online resource (xx, 520 pages) Digital: text file; PDF.
 Summary

 1. Principles of Formation of the Atomic Structure of Crystals
 2. Principal Types of Crystal Structures
 3. Band Energy Structure of Crystals
 4. Lattice Dynamics and Phase Transitions
 5. The Structure of Real Crystals
 6. Advances in Structural Crystallography
 References.
 Washington, D.C. : United States. Dept. of Energy. ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 1994
 Description
 Book — 1 online resource (63 p. ) : digital, PDF file.
 Summary

The panels of the 1992 Science Careers in Search of Women Conference consisted of a diverse group of women: undergraduate and graduate students, engineers, a director of college admissions, a professor of microbiology, and leaders of small and large companies. Each panelist shared valuable information and answered questions that many high school students have concerning college and the years beyond. One issue that was focused on was preparation for college. Several speakers emphasized the importance of students themselves taking the initiative to collect information on colleges and career programs. The college admissions officer advised that specific questions about admissions requirements be directed to a senior person in the office who actually makes decisions on admissions. She stressed the importance of establishing an interaction that could provide recognition for the student when the admissions officer is reviewing applications from a large pool of candidates. She also emphasized the importance of studying for standardized tests. Speakers discussed the advantages of enrolling in higherlevel math and science classes and taking Advanced Placement courses when they are available. Once a student has enrolled in a college or university, it is time to focus on choosing a major and identifying career interests and options. Graduate school was identified as much less classroomoriented than undergraduate studies. A student conducts research with guidance from an advisor and attends lectures and seminars, which often times present information related to the research project she is working on. Tuition is usually paid for by universities, especially in the science and engineering fields, often in return for a teaching or research assistant position.
 Online
88. Computational Optimal Control [1994]
 Bulirsch, R.
 Basel : Birkhäuser Basel, 1994.
 Description
 Book — 1 online resource (382 pages) Digital: text file.PDF.
 Summary

 1 A Survey on Computational Optimal Control
 Issues in the Direct Transcription of Optimal Control Problems to Sparse Nonlinear Programs
 Optimization in Control of Robots
 Largescale SQP Methods and their Application in Trajectory Optimization
 Solving Optimal Control and PursuitEvasion Game Problems of High Complexity
 2 Theoretical Aspects of Optimal Control and Nonlinear Programming
 Continuation Methods In Boundary Value Problems
 Second Order Optimality Conditions for Singular Extremals
 Synthesis of Adaptive Optimal Controls for Linear Dynamic Systems
 Control Applications of Reduced SQP Methods
 Time Optimal Control of Mechanical Systems
 3 Algorithms for Optimal Control Calculations
 Second Order Algorithm for Time Optimal Control of a Linear System
 An SQPtype Solution Method for Constrained DiscreteTime Optimal Control Problems
 Numerical Methods for Solving Differential Games, Prospective Applications to Technical Problems
 Construction of the Optimal Feedback Controller for Constrained Optimal Control Problems with Unknown Disturbances
 Repetitive Optimization for Predictive Control of Dynamic Systems under Uncertainty
 Optimal Control of Multistage Systems Described by HighIndex DifferentialAlgebraic Equations
 A New Class of a High Order Interior Point Method for the Solution of Convex Semiinfinite Optimization Problems
 A Structured Interior Point SQP Method for Nonlinear Optimal Control Problems
 4 Software for Optimal Control Calculations
 Automated Approach for Optimizing Dynamic Systems
 ANDECS: A Computation Environment for Control Applications of Optimization
 Application of Automatic Differentiation to Optimal Control Problems
 OCCAL: A mixed symbolicnumeric Optimal Control CALculator
 5 Applications of Optimal Control
 A Robotic Satellite with Simplified Design
 Nonlinear Control under Constraints of a Biological System
 An ObjectOriented Approach to Optimally Describe and Specify a SCADA System Applied to a Power Network
 NearOptimal Flight Trajectories Generated by Neural Networks
 Performance of a Feedback Method with Respect to Changes in the AirDensity during the Ascent of a TwoStageToOrbit Vehicle
 Linear Optimal Control for Reentry Flight
 SteadyState Modelling of Turbine Engine with Controllers
 Shortest Paths for Satellite Mounted Robot Manipulators
 Optimal Control of the Industrial Robot Manutec r3.
(source: Nielsen Book Data)
 Washington, D.C. : United States. Dept. of Energy. ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 1994
 Description
 Book — 106 p. : digital, PDF file.
 Summary

This issue highlights the Lawrence Livermore National Laboratory`s 1993 accomplishments in our mission areas and core programs: economic competitiveness, national security, energy, the environment, lasers, biology and biotechnology, engineering, physics, chemistry, materials science, computers and computing, and science and math education. Secondary topics include: nonproliferation, arms control, international security, environmental remediation, and waste management.
 Online
 [Niš, Serbia] : University of Niš
 Description
 Journal/Periodical
91. Inverse Heat Transfer Problems [1994]
 Alifanov, Oleg M.
 Berlin, Heidelberg : Springer Berlin Heidelberg, 1994.
 Description
 Book — 1 online resource (xii, 348 pages 116 illustrations) Digital: text file; PDF.
 Summary

 1. Statements and Use of Inverse Problems in Studying Heat Transfer Processes and Designing Engineering Units. 1.1 Introduction to the problem. 1.2 Simulation of Heat Transfer Processes. 1.3 Inverse Heat Transfer Problems (IHTP). 1.4 Practical Applications and the Role of Inverse Problems in Thermal Investigations. 1.5 The Contents and Structure of the Book. 1.6 Summary.
 2. Analysis of Statements and Solution Methods for Inverse Heat Transfer Problems. 2.1 Inverse Problems Formulation and Stability of Their Solution. 2.2 Existence of Inverse Problem Solutions. 2.3 Uniqueness of Solution of Inverse Heat Conduction Problems. 2.4 Degree of Instability of a Boundary Inverse Heat Conduction Problem.. 2.5 ConditionallyWellPosed Statement of Inverse Problems. 2.6 Regularization Principles of IllPosed Inverse Problem Solutions. 2.7 Summary.
 3. Analytical Forms of Boundary Inverse Heat Conduction Problems. 3.1 Determination of Transient Boundary Conditions in a Onedimensional Case. 3.2 Recovery of Boundary Conditions with a Differential Method of Measurement. 3.3 Analytical Forms of Multidimensional Inverse Problems. 3.4 Statement of a TwoDimensional Inverse Problem. 3.5 Fictitious Boundary Method for Solving Inverse Boundary Problems. 3.6 Summary.
 4. Direct Algebraic Method of Determining Transient Heat Loads. 4.1 The Recurrent Algorithm Construction. 4.2 The Boundary Condition Recoverability. 4.3 Step Regularization Principle and Limits of Method Applicability. 4.4 The Solution of an Inverse Heat Conduction Problem Using Some Other Methods of Approximation and with Disturbed Data. 4.5 Algorithmic Presentation of a TwoDimensional Inverse Heat Conduction Problem. 4.6 Summary.
 5. Solution of Boundary Inverse Heat Conduction Problems by Direct Numerical Methods. 5.1 Construction of Difference Algorithms. 5.2 Stability Criterion of the Difference Method for Solving a Boundary Inverse Problem. 5.3 Investigation into the Stability of Numerical Solution for Inverse Problems. 5.4 An Implicit Scheme for Inverse Problem Numerical Solution. 5.5 Artificial Hyperbolization of the Heat Conduction Equation in Solving a Boundary Inverse Problem. 5.6 Summary.
 6. The Extremal Formulations and Methods of Solving Inverse Heat Conduction Problems. 6.1 A Boundary Inverse Problem in the Extremal Statement. 6.2 The Iterative Regularization Principle. 6.3 Parametric Optimization in Solving Inverse Problems. 6.4 Gradient Methods of Parametric Optimization. 6.5 Functional Optimization in Inverse Problems. 6.6 The Selection of Approximate Solution and the General Appraisement of Gradient Methods. 6.7 Iterative Algorithms for Solving a Linear Inverse Problem. 6.8 Experimental Investigation of Algorithms. 6.9 Numerical Determination of Heat Loads Under Varying Thermophysical Properties of the Body. 6.10 Solution of a NonLinear Inverse Problem in Statement II. 6.11 The Iteration Technique of Determining NonStationary Heat Loads in the TwoDimensional Case. 6.12 Summary.
 7. Regularization of Variational Forms of Inverse Heat Conduction Problems. 7.1 The Regularized Form of Inverse Problems. 7.2 The Construction of a Regularizing Operator. 7.3 Regularization of the Inverse Problem Finitedimensional Form. 7.4 The Admissible Degree of Smoothing and Approximation Sampling Procedures. 7.5 The Reconstruction Accuracy Analysis of Boundary Heat Conditions. 7.6 ByInterval Regularization of a Nonlinear Inverse Problem. 7.7 Regularized Continuation of the Solution of a Nonlinear Heat Conduction Equation. 7.8 The Regularization of a TwoDimensional Inverse Problem. 7.9 Summary.
 8. Iterative Regularization of Inverse Problems. 8.1 On the Rigorous Basis of the Iterative Regularization. 8.2 General Formulation and Integral Forms of Linear Inverse Heat Conduction Problems. Gradient of the Residual Functional. 8.3 The General Formulation of Nonlinear IHCP. The Problem for an Increment of Temperature Field. 8.4 Adjoint Problems and Gradient of a Functional. 8.5 Gradient Algorithms with Regard to a Priori Information. 8.6 Examples of the Construction of the Algorithms for the Solution of Inverse Problems. 8.7 Computational Experiments. 8.8 Summary. Conclusion. Additional Bibliography.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Washington, D.C. : United States. Dept. of Energy. ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 1994
 Description
 Book — 1 online resource (97 p. ) : digital, PDF file.
 Summary

This report is compiled from annual reports submitted by principal investigators following the close of fiscal year 1993. This report describes the projects supported and summarizes their accomplishments. The program advances the Laboratory`s core competencies, foundations, scientific capability, and permits exploration of exciting new opportunities. Reports are given from the following divisions: Accelerator and Fusion Research, Chemical Sciences, Earth Sciences, Energy and Environment, Engineering, Environment  Health and Safety, Information and Computing Sciences, Life Sciences, Materials Sciences, Nuclear Science, Physics, and Structural Biology. (GHH)
 Online
 Bank, R. E.
 Basel : Birkhäuser Basel : Imprint : Birkhäuser, 1994.
 Description
 Book — 1 online resource (313 pages)
 Summary

 Circuit Simulation
 A new efficient numerical integration scheme for highly oscillatory electric circuits
 Numerische Lösung von hierarchisch strukturierten Systemen von AlgebroDifferentialgleichungen
 Partitioning and multirate strategies in latent electric circuits
 Circuit simulation
 an application for parallel ODE solvers?
 Numerical stability criteria for differentialalgebraic systems
 Analysis of linear timeinvariant networks in the frequency domain
 Limit cycle computation of oscillating electric circuits
 Timestep control for charge conserving integration in circuit simulation
 Ein Zusammenhang zwischen Waveformrelaxation und Iterationsverfahren für nichtlinear gestörte Gleichungen
 MultilevelNewtonVerfahren in der Transientenanalyse elektrischer Netzwerke
 Transientensimulation elektrischer Netwerke mit TRBDF
 The transient behavior of an oscillator
 Device Simulation
 Numerical simulation of the carrier transport in semiconductor devices on the base of an energy model
 On uniqueness of solutions to the driftdiffusionmodel of semiconductor devices
 On restrictions for discretizations of the simplified linearized van Roosbroeck's equations
 Mixed finite element discretization of continuity equations arising in semiconductor device simulation
 A piecewise linear PetrovGalerkin analysis of the boxmethod
 Stability analysis of thermocapillary convection in semiconductor crystal growth
 The method of BaligaPatankar and 3D device simulation
 A mass conserving moving grid method for dopant simulation
 Numerical approaches to the kinetic semiconductor equations
 The nonstationary semiconductor model with bounded convective velocity and generation/recombination term.
 Prince, Edward.
 Second edition.  Berlin, Heidelberg : Springer Berlin Heidelberg, 1994.
 Description
 Book — 1 online resource (xi, 223 pages 30 illustrations)
 Summary

 1 Matrices: Definitions and Fundamental Operations
 Fundamental Matrix Operations
 Linear Algebra
 Eigenvalues
 Linear Transformations
 Rotation of Axes
 The Metrie Tensor
 2 Symmetry of Finite Objects
 Groups
 Representations
 Point Groups
 Basis Functions
 3 Symmetry of Infinitely Repeated Patterns
 Bravais Lattices
 Space Groups
 4 Vectors
 Scalar and Vector Products
 The Reciprocal Lattice
 The Orientation Matrix
 Zones and Forms
 Sublattices and Superlattices
 5 Tensors
 Covariance and Contravariance
 The Multivariate Normal Disribution
 Anisotropic Atomic Displacement Factors
 The Equivalent Isotropic Temperature Factor
 Effect of Symmetry
 Tensors of Higher Ranks
 Moments and Cumulants
 Rigid Body Motion
 6 Data Fitting
 Fitting Functions
 Finding the Minimum
 False Minima
 7 Estimation of Uncertainty
 Estimates
 The Precision of Estimates of Precision
 Models with More than One Parameter
 Estimates of Precision When the Model Is Not Least Squares
 8 Significance and Accuracy
 The F Distribution
 Student's t Distribution
 Correlation
 Relationship Between Precision and Accuracy
 Uncertainties of Derived Functions
 The Projection Matrix
 9 Constrained Crystal Structure Refinement
 The Observed Data
 The Model
 The General Form for a Constrained Model
 Shape Constraints
 Rigid Body Thermal Motion Constraints
 Chemical Constraints
 Representing nonGaussian Distributions
 10 The Fast Fourier Transform
 The Discrete Fourier Transform
 The GoodThomas Algorithm
 The CooleyTukey Algorithm
 Prime Numbers
 FFTs for Real Sequences
 Space Group Symmetry
 Appendix A Stereographic Projection
 Appendix B Eigenvalues and Eigenvectors of 3 × 3 Symmetric Matrices
 Appendix C Sublattices and Superlattices
 Appendix D The Probability Integral, the Gamma Function, and Related Topics
 Appendix E The Harmonie Oscillator in Quantum Mechanics: Bloch's Theorem
 Appendix F Symmetry Restrictions on Seeond, Third, and Fourth Rank Tensors
 Appendix G Some Useful Computer Programs.
 Hemker, P. W.
 Basel : Birkhäuser Basel : Imprint : Birkhäuser, 1994.
 Description
 Book — 1 online resource (358 pages) Digital: text file.PDF.
 Summary

 I Invited Papers
 1 On Robust and Adaptive MultiGrid Methods
 2 A Generalized Multigrid Theory in the Style of Standard Iterative Methods
 3 Turbulence Modelling as a MultiLevel Approach
 4 The Frequency Decomposition MultiGrid Method
 5 Multiscale Methods for Computing Propagators in Lattice Gauge Theory
 6 Adaptive Multigrid on Distributed Memory Computers
 7 MulticomputerMultigrid Solution of Parabolic Partial Differential Equations
 8 Multilevel Solution of Integral and Integrodifferential Equations in Contact Mechanics and Lubrication
 Contributed Papers
 1 A MultiGrid Method for Calculation of Turbulence and Combustion
 2 On a MultiGrid Algorithm for the TBA Equations
 3 A Multidimensional Upwind Solution Adaptive Multigrid Solver for Inviscid Cascades
 4 Parallel Steady Euler Calculations using Multigrid Methods and Adaptive Irregular Meshes
 5 Multigrid Methods for Steady Euler Equations Based on Multistage Jacobi Relaxation
 6 Multigrid and Renormalization for Reservoir Simulation
 7 Interpolation and Related Coarsening Techniques for the Algebraic Multigrid Method
 8 Parallel Pointoriented Multilevel Methods
 9 Large Discretization Step (LDS) Methods For Evolution Equations
 10 A Full Multigrid Method Applied to Turbulent Flow using the SIMPLEC Algorithm Together with a Collocated Arrangement
 11 Multigrid Methods for Mixed Finite Element Discretizations of Variational Inequalities
 12 Multigrid with Matrixdependent Transfer Operators for Convectiondiffusion Problems
 13 Multilevel, Extrapolation, and Sparse Grid Methods
 14 Robust Multigrid with 7point ILU Smoothing
 15 Optimal Multigrid Method for Inviscid Flows
 16 Multigrid Techniques for Simple Discretely Divergencefree Finite Element Spaces
 17 Gridindependent Convergence Based on Preconditioning Techniques
 18 A New Residual Smoothing Method for Multigrid Acceleration Applied to the NavierStokes Equations.
96. Parallel scientific computing [1994  1994]
 PARA.
 Berlin ; New York : SpringerVerlag, c1994.
 Description
 Journal/Periodical — v. : ill. ; 24 cm.
SAL3 (offcampus storage)
SAL3 (offcampus storage)  Status 

Stacks

Request (opens in new tab) 
QA76.58 .P35 1ST 1994  Available 
 Washington, D.C. : United States. Dept. of Energy. ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 1994
 Description
 Book — 352 p. : digital, PDF file.
 Summary

This publication is a collection of articles generated as a result of the fall 1994 Science and Engineering Research Semester program at Lawrence Livermore Laboratory. Research titles include: electrochemical cells in the reduction of hexavalent chromium; an automated system for studying the power distribution of electron beams; the mapping of novel genes to human chromosome 19; bolometer analysis comparisons; design and implementation of the LLNL Gigabit Testbed; in vitro synthesis and purification of PhIPDeoxyguanosine and PhIPDNA Covalent Complexes; prethymic somatic mutation leads to high mutant frequency hypoxanthineguanine phosphoribosyl transferase gene; characterization of thin film multilayers with magnetization curves and modeling of low angle Xray diffraction data; total least squares; determining the water content of the Geysers Graywacke of northern California; a general approach to sharing data between scientific representations; nanomechanical properties of SiC thin films grown from C₆₀ precursors; advanced information technology, a tool set for building clean database applications; the design of an automated electrolytic enrichment procedure for tritium; fluvial terrace dating using insitu cosmogenic ²¹Ne; computer aided mapping of stream channels beneath the Lawrence Livermore National Laboratory, Livermore, CA; Xray spectroscopic technique for energetic electron transport studies in shortpulse laser/plasma interactions. Separate entries have been put in the energy data base for articles from this report. Selected papers are indexed separately for inclusion in the Energy Science and Technology Database.
 Online
 Washington, D.C. : United States. Dept. of Energy. ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 1994
 Description
 Book — 171 p. : digital, PDF file.
 Summary

The purpose of this plan is to document Lawrence Livermore National Laboratory (LLNL) projections for present and future waste minimization and pollution prevention. The plan specifies those activities and methods that are or will be used to reduce the quantity and toxicity of wastes generated at the site. It is intended to satisfy Department of Energy (DOE) requirements. This Plan provides an overview of projected activities from FY 1994 through FY 1999. The plans are broken into sitewide and problemspecific activities. All directorates at LLNL have had an opportunity to contribute input, to estimate budget, and to review the plan. In addition to the above, this plan records LLNL`s goals for pollution prevention, regulatory drivers for those activities, assumptions on which the cost estimates are based, analyses of the strengths of the projects, and the barriers to increasing pollution prevention activities.
 Online
 Washington, D.C. : United States. Dept. of Energy. ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 1993
 Description
 Book — 1 online resource (249 p. ) : digital, PDF file.
 Summary

The 1993 edition of Lawrence Berkeley Laboratory`s Catalog of Research Abstracts is a comprehensive listing of ongoing research projects in LBL`s ten research divisions. Lawrence Berkeley Laboratory (LBL) is a major multiprogram national laboratory managed by the University of California for the US Department of Energy (DOE). LBL has more than 3000 employees, including over 1000 scientists and engineers. With an annual budget of approximately $250 million, LBL conducts a wide range of research activities, many that address the longterm needs of American industry and have the potential for a positive impact on US competitiveness. LBL actively seeks to share its expertise with the private sector to increase US competitiveness in world markets. LBL has transferable expertise in conservation and renewable energy, environmental remediation, materials sciences, computing sciences, and biotechnology, which includes fundamental genetic research and nuclear medicine. This catalog gives an excellent overview of LBL`s expertise, and is a good resource for those seeking partnerships with national laboratories. Such partnerships allow private enterprise access to the exceptional scientific and engineering capabilities of the federal laboratory systems. Such arrangements also leverage the research and development resources of the private partner. Most importantly, they are a means of accessing the cuttingedge technologies and innovations being discovered every day in our federal laboratories.
 Online
100. Discrete Images, Objects, and Functions in Zn [1993]
 Voss, K. (Klaus)
 Berlin, Heidelberg : Springer Berlin Heidelberg, 1993.
 Description
 Book — 1 online resource (x, 270 pages 100 illustrations)
 Summary

 Content. 1 Neighborhood Structures. 1.1 Finite Graphs. 1.1.1 Historical Remarks. 1.1.2 Elementary Theory of Sets and Relations. 1.1.3 Elementary Graph Theory. 1.2 Neighborhood Graphs. 1.2.1 Graph Theory and Image Processing. 1.2.2 Points, Edges, Paths, and Regions. 1.2.3 Matrices of Adjacency. 1.2.4 Graph Distances. 1.3 Components in Neighborhood Structures. 1.3.1 Search in Graphs and Labyrinths. 1.3.2 Neighborhood Search. 1.3.3 Graph Search in Images. 1.3.4 Neighbored Sets and Separated Sets. 1.3.5 Component Labeling. 1.4 Dilatation and Erosion. 1.4.1 Metric Spaces. 1.4.2 Boundaries and Cores in Neighborhood Structures. 1.4.3 Set Operations and Set Operators. 1.4.4 Dilatation and Erosion. 1.4.5 Opening and Closing. 2 Incidence Structures. 2.1 Homogeneous Incidence Structures. 2.1.1 Topological Problems. 2.1.2 Cellular Complexes. 2.1.3 Incidence Structures. 2.1.4 Homogeneous Incidence Structures. 2.1.5 Zn as Incidence Structure. 2.2 Oriented Neighborhood Structures. 2.2.1 Orientation of a Neighborhood Structure. 2.2.2 Euler Characteristic of a Neighborhood Structure. 2.2.3 Border Meshes and Separation Theorem. 2.2.4 Search in Oriented Neighborhood Structures. 2.2.5 Coloring in Oriented Neighborhood Structures. 2.3 Homogeneous Oriented Neighborhood Structures. 2.3.1 Homogeneity in Neighborhood Structures. 2.3.2 Toroidal Nets. 2.3.3 Curvature of Border Meshes in Toroidal Nets. 2.3.4 Planar SemiHomogeneous Graphs. 2.4 Objects in NDimensional Incidence Structures. 2.4.1 ThreeDimensional Homogeneous Incidence Structures. 2.4.2 Objects in Zn. 2.4.3 Similarity of Objects. 2.4.4 General Surface Formulas. 2.4.5 Interpretation of Object Characteristics. 3 Topological Laws and Properties. 3.1 Objects and Surfaces. 3.1.1 Surfaces in Discrete Spaces. 3.1.2 Contur Following as TwoDimensional Boundary Detection. 3.1.3 ThreeDimensional Surface Detection. 3.1.4 Curvature of Conturs and Surfaces. 3.2 Motions and Intersections. 3.2.1 Motions of Objects in Zn. 3.2.2 Count Measures and Intersections of Objects. 3.2.3 Applications of Intersection Formula. 3.2.4 Count Formulas. 3.2.5 Stochastic Images. 3.3 Topology Preserving Operations. 3.3.1 Topological Equivalence. 3.3.2 Simple Points. 3.3.3 Thinning. 4 Geometrical Laws and Properties. 4.1 Discrete Geometry. 4.1.1 Geometry and Number Theory. 4.1.2 Minkowski Geometry. 4.1.3 Translative Neighborhood Structures. 4.1.4 Digitalization Effects. 4.2 Straight Lines. 4.2.1 Rational Geometry. 4.2.2 Digital Straight Lines in Z2. 4.2.3 Continued Fractions. 4.2.4 Straight Lines in Zn. 4.3 Convexity. 4.3.1 Convexity in Discrete Geometry. 4.3.2 Maximal Convex Objects. 4.3.3 Determination of Convex Hull. 4.3.4 Convexity in Zn. 4.4 Approximative Motions. 4.4.1 Pythagorean Rotations. 4.4.2 Shear Transformations. 4.3.3 General Affine Transformations. 5 Discrete Functions. 5.1 OneDimensional Periodical Discrete Functions. 5.1.1 Functions. 5.1.2 Space of Periodical Discrete Function. 5.1.3 LSIOperators and Convolutions. 5.1.4 Products of Linear Operators. 5.2 Algebraic Theory of Discrete Functions. 5.2.1 Domain of Definition and Range of Values. 5.2.2 Algebraical Structures. 5.2.3 Convolution of Functions. 5.2.4 Convolution Orthogonality. 5.3 Orthogonal Convolution Bases. 5.3.1 General Properties in OCB's. 5.3.2 Fourier Transform. 5.3.3 Number Theoretical Transforms. 5.3.4 TwoDimensional NTT. 5.4 Inversion of Convolutions. 5.4.1 Conditions for Inverse Elements. 5.4.2 Deconvolutions and Texture Synthesis. 5.4.3 Approximative Computation of Inverse Elements. 5.4.4 Theory of Approximative Inversion. 5.4.5 Examples of Inverse Filters. 5.5 Differences and Sums of Functions. 5.5.1 Differences of OneDimensional Discrete Functions. 5.5.2 Difference Equations and ZTransform. 5.5.3 Sums of Functions. 5.5.4 Bernoulli's Polynomials. 5.5.5 Determination of Moments. 5.5.6 Final Comments. 6 Summary and Symbols. 7 References. 8 Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)