Kim, Taewon D., Richer, M., Sánchez-Díaz, Gabriela, Miranda-Quintana, Ramón Alain, Verstraelen, Toon, Heidar-Zadeh, Farnaz, and Ayers, Paul W.
Journal of Computational Chemistry. February 15, 2023, Vol. 44 Issue 5, p697, 13 p.
Keywords: ab initio; electronic structure; FANCI; method development; Python Abstract Fanpy is a free and open-source Python library for developing and testing multideterminant wavefunctions and related ab initio methods in electronic structure theory. The main use of Fanpy is to quickly prototype new methods by making it easier to convert the mathematical formulation of a new wavefunction ansätze to a working implementation. Fanpy is designed based on our recently introduced Flexible Ansatz for N-electron Configuration Interaction (FANCI) framework, where multideterminant wavefunctions are represented by their overlaps with Slater determinants of orthonormal spin-orbitals. In the simplest case, a new wavefunction ansatz can be implemented by simply writing a function for evaluating its overlap with an arbitrary Slater determinant. Fanpy is modular in both implementation and theory: the wavefunction model, the system's Hamiltonian, and the choice of objective function are all independent modules. This modular structure makes it easy for users to mix and match different methods and for developers to quickly explore new ideas. Fanpy is written purely in Python with standard dependencies, making it accessible for various operating systems. In addition, it adheres to principles of modern software development, including comprehensive documentation, extensive testing, quality assurance, and continuous integration and delivery protocols. This article is considered to be the official release notes for the Fanpy library. Article Note: Funding information Canada Research Chairs; Natural Sciences and Engineering Research Council of Canada; CANARIE; Compute Canada; Research Board of Ghent University; University of Florida Byline: Taewon D. Kim, M. Richer, Gabriela Sánchez-Díaz, Ramón Alain Miranda-Quintana, Toon Verstraelen, Farnaz Heidar-Zadeh, Paul W. Ayers
Bryden, Douglas (Designer), author. and Bryden, Douglas (Designer), author.
Industrial design -- Computer-aided design -- Case studies., Product design -- Computer-aided design -- Case studies., Computer-aided design., Rapid prototyping., Industrial design -- Data processing -- Case studies., Industrial design -- Data processing., and Case studies.
Computer-aided design (CAD) and rapid prototyping (RP) are now a fundamental part of the professional practice of product design and are therefore essential skills for product design undergraduate students. This book provides students with all the tools needed to get to grips with the range of both CAD software and RP processes used in the industry.
Haller, Norm, author. and National Research Council (U.S.). Air Force Studies Board, issuing body.
Prototypes, Engineering -- Congresses., Rapid prototyping -- Congresses., and Military research -- United States -- Planning -- Congresses.
"Assessment to Enhance Air Force and Department of Defense Prototyping for the New Defense Strategy is the summary of a workshop convened by the Air Force Studies Board of the National Academies' National Research Council in September 2013 to enhance Air Force and Department of Defense (DoD) prototyping for the new defense strategy. This workshop examined of a wide range of prototyping issues, including individual recommendations for a renewed prototype program, application of prototyping as a tool for technology/system development and sustainment (including annual funding), and positive and negative effects of a renewed program. Prototyping has historically been of great benefit to the Air Force and DoD in terms of risk reduction and concept demonstration prior to system development, advancing new technologies, workforce enhancement and skills continuity between major acquisitions, dissuasion of adversaries by demonstrating capabilities, maintaining technological surprise through classified technologies, and an overarching strategy of overall risk reduction during austere budget environments. Over the last two decades, however, many issues with prototyping have arisen. For example, the definitions and terminology associated with prototyping have been convoluted and budgets for prototyping have been used as offsets to remedy budget shortfalls. Additionally, prototyping has been done with no strategic intent or context, and both government and industry have misused prototyping as a key tool in the DoD and defense industrial base. Assessment to Enhance Air Force and Department of Defense Prototyping for the New Defense Strategy envisions a prototyping program that encourages innovation in new concepts and approaches and provides a means to assess and reduce risk before commitment to major new programs."--Publisher's description.
Gibson, I. (Ian), Rosen, D. W. (David W.), Stucker, B. (Brent), and Gibson, I. (Ian)
Manufacturing processes -- Automation., Production control -- Automation., CAD/CAM systems., and Rapid Prototyping (Fertigung)
"Additive Manufacturing Technologies: Rapid Prototyping to Direct Digital Manufacturing deals with various aspects of joining materials to form parts. Additive Manufacturing (AM) is an automated technique for direct conversion of 3D CAD data into physical objects using a variety of approaches. Manufacturers have been using these technologies in order to reduce development cycle times and get their products to the market quicker, more cost effectively, and with added value due to the incorporation of customizable features. Realizing the potential of AM applications, a large number of processes have been developed allowing the use of various materials ranging from plastics to metals for product development. Authors Ian Gibson, David W. Rosen and Brent Stucker explain these issues, as well as: Providing a comprehensive overview of AM technologies plus descriptions of support technologies like software systems and post-processing approaches ; Discussing the wide variety of new and emerging applications like micro-scale AM, medical applications, direct write electronics and Direct Digital Manufacturing of end-use components ; Introducing systematic solutions for process selection and design for AM. Additive Manufacturing Technologies: Rapid Prototyping to Direct Digital Manufacturing is the perfect book for researchers, students, practicing engineers, entrepreneurs, and manufacturing industry professionals interested in additive manufacturing."--Publisher's website.
Information Technology Newsweekly. December 27, 2022, 161
Rapid prototyping -- Analysis -- Technology application -- Research -- Economic aspects, Technology application, and Computers
2022 DEC 27 (VerticalNews) -- By a News Reporter-Staff News Editor at Information Technology Newsweekly -- Investigators discuss new findings in Information Technology. According to news originating from Tiaret, Algeria, [...]
Keywords Tissue P System; Wireless Sensor Network; Multi-Objective problem; Task Assignment; Decision Support System; Parallel computing; Sustainable computing Abstract The contemporary wireless sensor applications employ a Heterogeneous Wireless Sensor Network (HeWSN) to achieve its multi-objective missions. Modern wireless nodes constituting the HeWSN are more versatile in terms of its capabilities, functionalities, and applications. Assigning tasks in a dynamic HeWSN environment are challenging due to its inherent heterogeneous properties and capabilities. The investigation of existing task assignment algorithms reveals (i) the majority of the existing task assignment algorithms were designed for the homogeneous environment, (ii) most of the nature-inspired algorithms were built for centralized architecture. Scheduling tasks by existing task assignment algorithms lead to underutilization of resources as well as to the rapid depletion of network resources. To this end, a novel, distributed, heterogeneous task assignment algorithm adhering the modern sensors capabilities, functionalities and sensor application to attain sustainable computing is required. Based on the investigation, Tissue P-System inspired task assignment algorithm for the distributed heterogeneous WSN has been modelled. The experimental analyses of the proposed method have been self-evaluated as well as compared with the corresponding recent benchmark algorithms under various conditions and its performance metrics are analysed. Author Affiliation: Karunya Institute of Technology & Sciences, Coimbatore, Tamil Nadu 641 114, India * Corresponding author. Article History: Received 18 November 2019; Revised 11 June 2020; Accepted 21 June 2020 (footnote) Peer review under responsibility of King Saud University. Byline: Titus Issac [email@example.com] (*), Salaja Silas, Elijah Blessing Rajsingh