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 Alexander, Stephon, author.
 First edition  New York, NY : Basic Books, Hachette Book Group, 2021
 Description
 Book — viii, 245 pages : illustrations ; 25 cm
 Summary

 Escape from the jungle of no imaginations
 The changeless change
 Superposition
 The zen of quantum fields
 Emergence
 If Basquiat were a physicist
 What banged?
 A dark conductor of quantum galaxies
 Cosmic virtual reality
 Embracing instabilities
 A cosmologist's view of a quantum elephant
 The cosmic biosphere
 Dark ideas on alien life
 Into the cosmic matrix
 The cosmic mind and quantum cosmology
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QB981 .A538 2021  Unknown 
 Kaku, Michio, author.
 First edition  New York : Doubleday, [2021]
 Description
 Book — ix, 225 pages : illustrations ; 20 cm
 Summary

 Introduction to the final theory
 Unification, the ancient dream
 Einstein's quest for unification
 Rise of the quantum
 Theory of almost everything
 The dark universe
 Rise of string theory : promise and problems
 Finding meaning in the universe
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QB981 .K133 2021  Unknown 
 Zee, A., author.
 Princeton, New Jersey : Princeton University Press, [2020]
 Description
 Book — xxiv, 430 pages : illustrations ; 26 cm
 Summary

The essential primer for physics students who want to build their physical intuition Presented in A. Zee's incomparably engaging style, this book introduces physics students to the practice of using physical reasoning and judicious guesses to get at the crux of a problem. An essential primer for advanced undergraduates and beyond, Fly by Night Physics reveals the simple and effective techniques that researchers use to think through a problem to its solutionor failing that, to smartly guess the answerbefore starting any calculations. In typical physics classrooms, students seek to master an enormous toolbox of mathematical methods, which are necessary to do the precise calculations used in physics. Consequently, students often develop the unfortunate impression that physics consists of welldefined problems that can be solved with tightly reasoned and logical steps. Idealized textbook exercises and homework problems reinforce this erroneous impression. As a result, even the best students can find themselves completely unprepared for the challenges of doing actual research. In reality, physics is replete with back of the envelope estimates, order of magnitude guesses, and fly by night leaps of logic. Including exciting problems related to cuttingedge topics in physics, from Hawking radiation to gravity waves, this indispensable book will help students more deeply understand the equations they have learned and develop the confidence to start flying by night to arrive at the answers they seek. For instructors, a solutions manual is available upon request.
(source: Nielsen Book Data)
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QC21.3 .Z44 2020  Unknown On reserve: Ask at circulation desk 2hour loan 
PHYSICS21601
 Course
 PHYSICS21601  Back of the Envelope Physics
 Instructor(s)
 Madejski, Grzegorz M.
4. The demon in the machine [2019]
 Davies, Paul, author.
 London : Allen Lane, 2019.
 Description
 Book — 250 pages : illustrations (black and white) ; 24 cm
 Summary

'A gripping new drama in science ... if you want to understand how the concept of life is changing, read this' Professor Andrew Briggs, University of Oxford When Darwin set out to explain the origin of species, he made no attempt to answer the deeper question: what is life? For generations, scientists have struggled to make sense of this fundamental question. Life really does look like magic: even a humble bacterium accomplishes things so dazzling that no human engineer can match it. And yet, huge advances in molecular biology over the past few decades have served only to deepen the mystery. So can life be explained by known physics and chemistry, or do we need something fundamentally new? In this penetrating and wideranging new analysis, worldrenowned physicist and science communicator Paul Davies searches for answers in a field so new and fastmoving that it lacks a name, a domain where computing, chemistry, quantum physics and nanotechnology intersect. At the heart of these diverse fields, Davies explains, is the concept of information: a quantity with the power to unify biology with physics, transform technology and medicine, and even to illuminate the ageold question of whether we are alone in the universe. From life's murky origins to the microscopic engines that run the cells of our bodies, The Demon in the Machine is a breathtaking journey across the landscape of physics, biology, logic and computing. Weaving together cancer and consciousness, twoheaded worms and bird navigation, Davies reveals how biological organisms garner and process information to conjure order out of chaos, opening a window on the secret of life itself.
(source: Nielsen Book Data)
How does life create order from chaos? And just what is life, anyway? Leading physicist Paul Davies argues that to find the answers, we must first answer a deeper question 'What is information?' To understand the origins and nature of life, Davies proposes a radical vision of biology which sees the underpinnings of life as similar to circuits and electronics, arguing that life as we know it should really be considered a phenomenon of information storage. In an extraordinary deep dive into the real mechanics of what we take for granted, Davies reveals how biological processes, from photosynthesis to birds' navigation abilities, rely on quantum mechanics, and explores whether quantum physics could prove to be the secret key of all life on Earth. Lively and accessible, The Demon in the Machineboils down intricate interdisciplinary developments to take readers on an eyeopening journey towards the ultimate goal of science unifying all theories of the living and the nonliving, so that humanity can at last understand its place in the universe.
(source: Nielsen Book Data)
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Marine Biology Library (Miller), Science Library (Li and Ma)
Marine Biology Library (Miller)  Status 

Popular science  
QH325 .D38 2019  Unknown 
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QH325 .D38 2019  Unknown 
 Farmelo, Graham, author.
 First edition.  New York : Basic Books, 2019.
 Description
 Book — 321 pages : illustrations, portraits ; 25 cm
 Summary

 Prologue: listening to the universe
 Mathematics drives away the cloud
 Shining the torch on electricity and magnetism
 Shining the torch on gravity again
 Quantum mathematics
 The long divorce
 Revolution
 Bad company?
 Jokes and magic lead to the string
 Strung together
 Thinking their way to the Millenium
 Diamonds in the rough
 The best possible times.
(source: Nielsen Book Data)
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QC6 .F3375 2019  Unknown 
6. The physics of energy [2018]
 Jaffe, Robert L., author.
 Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2018
 Description
 Book — xxi, 874 pages : illustrations, maps ; 29 cm
 Summary

 Part I. Basic Energy Physics and Uses: 1. Introduction
 2. Mechanical energy
 3. Electromagnetic energy
 4. Waves and light
 5. Thermodynamics I: heat and thermal energy
 6. Heat transfer
 7. Introduction to quantum physics
 8. Thermodynamics II: entropy and temperature
 9. Energy in matter
 10. Thermal energy conversion
 11. Internal combustion engines
 12. Phasechange energy conversion
 13. Thermal power and heat extraction cycles
 Part II. Energy Sources: 14. The forces of nature
 15. Quantum phenomena in energy systems
 16. An overview of nuclear power
 17. Structure, properties and decays of nuclei
 18. Nuclear energy processes: fission and fusion
 19. Nuclear fission reactors and nuclear fusion experiments
 20. Ionizing radiation
 21. Energy in the universe
 22. Solar energy: solar production and radiation
 23. Solar energy: solar radiation on Earth
 24. Solar thermal energy
 25. Photovoltaic solar cells
 26. Biological energy
 27. Ocean energy flow
 28. Wind: a highly variable resource
 29. Fluids  the basics
 30. Wind turbines
 31. Energy from moving water: hydro, wave, tidal, and marine current power
 32. Geothermal energy
 33. Fossil fuels
 Part III. Energy System Issues and Externalities: 34. Energy and climate
 35. Earth's climate: past, present, and future
 36. Energy efficiency, conservation, and changing energy sources
 37. Energy storage
 38. Electricity generation and transmission.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
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QC28 .J34 2018  Unknown 
 Milotti, Edoardo, author.
 San Rafael [California] (40 Oak Drive, San Rafael, CA, 94903, USA) : Morgan & Claypool Publishers, 2018. Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2018]
 Description
 Book — 1 volume (various pagings) : illustrations (some color) ; 26 cm.
 Summary

 Preface Acknowledgments Author biography
 1. Models of Nature
 2. Randomness
 3. Bayesian and frequentist approaches to scientific inference
 4. The principles of inferential statistics
 5. Parametric inference
 6. Prior distributions and equiprobable events in the physical sciences
 7. Conclusionsthe statistical nature of scientific knowledge Appendix AShort review of some basic concepts Appendix BAbbreviations.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
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QC20 .M557 2018  Unknown 
 Providence, Rhode Island : American Mathematical Society, [2017]
 Description
 Book — x, 267 pages : illustrations ; 26 cm.
 Summary

 * B. Webster, Geometry and categorification* Y. Li, A geometric realization of modified quantum algebras* T. Lawson, R. Lipshitz, and S. Sarkar, The cube and the Burnside category* S. Chun, S. Gukov, and D. Roggenkamp, Junctions of surface operators and categorification of quantum groups* R. Rouquier, KhovanovRozansky homology and 2braid groups* I. Cherednik and I. Danilenko, DAHA approach to iterated torus links.
 (source: Nielsen Book Data)
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QA169 .C3746 2017  Unknown 
9. Modern classical physics : optics, fluids, plasmas, elasticity, relativity, and statistical physics [2017]
 Thorne, Kip S., author.
 Princeton, New Jersey : Princeton University Press, [2017]
 Description
 Book — xl, 1511 pages : illustrations ; 27 cm
 Summary

 Preface
 Acknowledgments
 Part I. Foundations. Newtonian physics : geometric viewpoint ; Special relativity : geometric viewpoint
 Part II. Statistical physics. Kinetic theory ; Statistical mechanics ; Statistical thermodynamics ; Random processes
 Part III. Optics. Geometric optics ; Diffraction ; Interference and coherence ; Nonlinear optics
 Part IV. Elasticity. Elastostatics ; Elastodynamics
 Part V. Fluid dynamics. Foundations of fluid dynamics ; Vorticity ; Turbulence ; Waves ; Compressible and supersonic flow ; Convection ; Magnetohydrodynamics
 Part VI. Plasma physics. The particle kinetics of plasma ; Waves in cold plasmas : twofluid formalism ; Kinetic theory of warm plasmas ; Nonlinear dynamics of plasmas
 Part VII. General relativity. From special to general relativity ; Fundamental concepts of general relativity ; Relativistic stars and black holes ; Gravitational waves and experimental tests of general relativity ; Cosmology.
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QC21.3 .T46 2017  Unknown 
QC21.3 .T46 2017  Unknown 
10. Natural complexity : a modeling handbook [2017]
 Charbonneau, Paul, 1961
 Princeton, NJ : Princeton University Press, [2017]
 Description
 Book — xiv, 355 pages : illustrations (some color) ; 22 cm.
 Summary

 Preface xiii
 1. Introduction: What Is Complexity? 1 1.1 Complexity Is Not Simple 1 1.2 Randomness Is Not Complexity 4 1.3 Chaos Is Not Complexity 10 1.4 Open Dissipative Systems 13 1.5 Natural Complexity 16 1.6 About the Computer Programs Listed in This Book 18 1.7 Suggested Further Reading 20 2 Iterated Growth 23 2.1 Cellular Automata in One Spatial Dimension 23 2.2 Cellular Automata in Two Spatial Dimensions 31 2.3 A Zoo of 2D Structures from Simple Rules 38 2.4 Agents, Ants, and Highways 41 2.5 Emergent Structures and Behaviors 46 2.6 Exercises and Further Computational Explorations 47 2.7 Further Reading 50 3 Aggregation 53 3.1 DiffusionLimited Aggregation 53 3.2 Numerical Implementation 54 3.3 A Representative Simulation 58 3.4 A Zoo of Aggregates 60 3.5 Fractal Geometry 63 3.6 SelfSimilarity and Scale Invariance 73 3.7 Exercises and Further Computational Explorations 76 3.8 Further Reading 78 4 Percolation 80 4.1 Percolation in One Dimension 80 4.2 Percolation in Two Dimensions 83 4.3 Cluster Sizes 85 4.4 Fractal Clusters 98 4.5 Is It Really a Power Law? 98 4.6 Criticality 100 4.7 Exercises and Further Computational Explorations 102 4.8 Further Reading 104 5 Sandpiles 106 5.1 Model Definition 106 5.2 Numerical Implementation 110 5.3 A Representative Simulation 112 5.4 Measuring Avalanches 119 5.5 SelfOrganized Criticality 123 5.6 Exercises and Further Computational Explorations 127 5.7 Further Reading 129 6 Forest Fires 130 6.1 Model Definition 130 6.2 Numerical Implementation 131 6.3 A Representative Simulation 134 6.4 Model Behavior 137 6.5 Back to Criticality 147 6.6 The Pros and Cons of Wildfire Management 148 6.7 Exercises and Further Computational Explorations 149 6.8 Further Reading 152 7 Traffic Jams 154 7.1 Model Definition 154 7.2 Numerical Implementation 157 7.3 A Representative Simulation 157 7.4 Model Behavior 161 7.5 Traffic Jams as Avalanches 164 7.6 Car Traffic as a SOC System? 168 7.7 Exercises and Further Computational Explorations 170 7.8 Further Reading 172 8 Earthquakes 174 8.1 The BurridgeKnopoff Model 175 8.2 Numerical Implementation 182 8.3 A Representative Simulation 184 8.4 Model Behavior 189 8.5 Predicting Real Earthquakes 193 8.6 Exercises and Further Computational Explorations 194 8.7 Further Reading 196 9 Epidemics 198 9.1 Model Definition 198 9.2 Numerical Implementation 199 9.3 A Representative Simulation 202 9.4 Model Behavior 205 9.5 Epidemic SelfOrganization 213 9.6 SmallWorld Networks 215 9.7 Exercises and Further Computational Explorations 220 9.8 Further Reading 222 10 Flocking 224 10.1 Model Definition 225 10.2 Numerical Implementation 228 10.3 A Behavioral Zoo 235 10.4 Segregation of Active and Passive Flockers 240 10.5 Why You Should Never Panic 242 10.6 Exercises and Further Computational Explorations 245 10.7 Further Reading 247 11 Pattern Formation 249 11.1 Excitable Systems 249 11.2 The Hodgepodge Machine 253 11.3 Numerical Implementation 260 11.4 Waves, Spirals, Spaghettis, and Cells 262 11.5 Spiraling Out 266 11.6 Spontaneous Pattern Formation 270 11.7 Exercises and Further Computational Explorations 272 11.8 Further Reading 273 12 Epilogue 275 12.1 A Hike on Slickrock 275 12.2 Johannes Kepler and the Unity of Nature 279 12.3 From Lichens to Solar Flares 285 12.4 Emergence and Natural Order 288 12.5 Into the Abyss: Your Turn 290 12.6 Further Reading 291 A. Basic Elements of the Python Programming Language 293 A.1 Code Structure 294 A.2 Variables and Arrays 297 A.3 Operators 299 A.4 Loop Constructs 300 A.5 Conditional Constructs 304 A.6 Input/Output and Graphics 305 A.7 Further Reading 306 B. Probability Density Functions 308 B.1 A Simple Example 308 B.2 Continuous PDFs 312 B.3 Some Mathematical Properties of PowerLaw PDFs 313 B.4 Cumulative PDFs 314 B.5 PDFs with Logarithmic Bin Sizes 315 B.6 Better Fits to PowerLaw PDFs 318 B.7 Further Reading 320 C Random Numbers and Walks 321 C.1 Random and PseudoRandom Numbers 321 C.2 Uniform Random Deviates 323 C.3 Using Random Numbers for Probability Tests 324 C.4 Nonuniform Random Deviates 325 C.5 The Classical Random Walk 328 C.6 Random Walk and Diffusion 335 D Lattice Computation 338 D.1 NearestNeighbor Templates 339 D.2 Periodic Boundary Conditions 342 D.3 Random Walks on Lattices 345 Index 351.
 (source: Nielsen Book Data)
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Q175.32 .C65 C43 2017  Unknown 