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1 Yang, Zining Proceedings of the 2020 Conference of The Computational Social Science Society of the Americas I11952 2021 eBook  
2 Amusia, Miron Ya Computation of Atomic and Molecular Processes I11919 2021 eBook  
3 Alvertis, Antonios M On Exciton???Vibration and Exciton???Photon Interactions in Organic Semiconductors I11874 2021 eBook  
4 Bauerhenne, Bernd Materials Interaction with Femtosecond Lasers I11873 2021 eBook  
5 Yanagihara, Ryosuke Distribution of Energy Momentum Tensor around Static Charges in Lattice Simulations and an Effective Model I11868 2021 eBook  
6 Ahrweiler, Petra Advances in Social Simulation I11751 2021 eBook  
7 Tanaka, Akinori Deep Learning and Physics I11729 2021 eBook  
8 Schweizer, Wolfgang Special Functions in Physics with MATLAB I11728 2021 eBook  
9 Prunty, Se??n Introduction to Simple Shock Waves in Air I11713 2021 eBook  
10 Kulasiri, Don Chemical Master Equation for Large Biological Networks I11686 2021 eBook  
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TitleProceedings of the 2020 Conference of The Computational Social Science Society of the Americas
Author(s)Yang, Zining;von Briesen, Elizabeth
PublicationCham, Springer International Publishing, 2021.
DescriptionIX, 279 p. 131 illus., 123 illus. in color : online resource
Abstract NoteThis book is comprised of the latest research into CSS methods, uses, and results, as presented at the 2020 annual conference of the Computational Social Science Society of the Americas (CSSSA). Computational social science (CSS) is the science that investigates social and behavioral dynamics through social simulation, social network analysis, and social media analysis. The CSSSA is a professional society that aims to advance the field of computational social science in all areas, including basic and applied orientations, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing research findings and results. The above-mentioned conference was held virtually, October 8 ??? 11, 2020. What follows is a diverse representation of new results and approaches to using the tools of CSS and agent-based modeling (ABM) in exploring complex phenomena across many different domains. Readers will therefore not only have the results of these specific projects upon which to build, along with a wealth of case-study examples that can serve as meaningful exemplars for new research projects and activities, they will also gain a greater appreciation for the broad scope of CSS
ISBN,Price9783030834180
Keyword(s)1. Agent-based Economics 2. COMPLEX SYSTEMS 3. COMPUTATIONAL COMPLEXITY 4. Computational Physics and Simulations 5. COMPUTER SIMULATION 6. DYNAMICAL SYSTEMS 7. EBOOK 8. EBOOK - SPRINGER 9. GAME THEORY 10. MATHEMATICAL PHYSICS 11. Schools of economics 12. SYSTEM THEORY
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TitleComputation of Atomic and Molecular Processes : Introducing the ATOM-M Software Suite
Author(s)Amusia, Miron Ya;Chernysheva, Larissa V
PublicationCham, Springer International Publishing, 2021.
DescriptionXXIV, 456 p. 137 illus., 49 illus. in color : online resource
Abstract NoteThis book presents numerical methods for solving a wide range of problems associated with the structure of atoms and simplest molecules, and their interaction with electromagnetic radiation, electrons, and other particles. It introduces the ATOM-M software package, presenting a unified software suite, written in Fortran, for carrying out precise atomic and molecular numeric calculations. The book shows how to apply these numerical methods to obtain many different characteristics of atoms, molecules, and the various processes within which they interact. In an entirely self-sufficient approach, it teaches the reader how to use the codes provided to build atomic and molecular systems from the ground up and obtain the resulting one-electron wave functions. The computational programs presented and made available in this book allow calculations in the one-electron Hartree???Fock approximation and take into account many-electron correlations within the framework of the random-phase approximation with exchange or many-body perturbation theory. Ideal for scholars interested in numerical computation of atomic and molecular processes, the material presented in this book is useful to both experts and novices, theorists, and experimentalists
ISBN,Price9783030851439
Keyword(s)1. Atomic and Molecular Structure and Properties 2. Atomic structure???? 3. Atomic, Molecular and Chemical Physics 4. ATOMS 5. Computational Physics and Simulations 6. COMPUTER SIMULATION 7. EBOOK 8. EBOOK - SPRINGER 9. MATHEMATICAL PHYSICS 10. Molecular structure?? 11. MOLECULES 12. NUMERICAL ANALYSIS 13. QUANTUM PHYSICS 14. Theoretical, Mathematical and Computational Physics
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TitleOn Exciton???Vibration and Exciton???Photon Interactions in Organic Semiconductors
Author(s)Alvertis, Antonios M
PublicationCham, Springer International Publishing, 2021.
DescriptionXIX, 202 p. 70 illus., 60 illus. in color : online resource
Abstract NoteWhat are the physical mechanisms that underlie the efficient generation and transfer of energy at the nanoscale? Nature seems to know the answer to this question, having optimised the process of photosynthesis in plants over millions of years of evolution. It is conceivable that humans could mimic this process using synthetic materials, and organic semiconductors have attracted a lot of attention in this respect. Once an organic semiconductor absorbs light, bound pairs of electrons with positively charged holes, termed `excitons???, are formed. Excitons behave as fundamental energy carriers, hence understanding the physics behind their efficient generation and transfer is critical to realising the potential of organic semiconductors for light-harvesting and other applications, such as LEDs and transistors. However, this problem is extremely challenging since excitons can interact very strongly with photons. Moreover, simultaneously with the exciton motion, organic molecules can vibrate in hundreds of possible ways, having a very strong effect on energy transfer. The description of these complex phenomena is often beyond the reach of standard quantum mechanical methods which rely on the assumption of weak interactions between excitons, photons and vibrations. In this thesis, Antonios Alvertis addresses this problem through the development and application of a variety of different theoretical methods to the description of these strong interactions, providing pedagogical explanations of the underlying physics. A comprehensive introduction to organic semiconductors is followed by a review of the background theory that is employed to approach the relevant research questions, and the theoretical results are presented in close connection with experiment, yielding valuable insights for experimentalists and theoreticians alike.
ISBN,Price9783030854546
Keyword(s)1. Computational Physics and Simulations 2. COMPUTER SIMULATION 3. EBOOK 4. EBOOK - SPRINGER 5. ELECTRONIC STRUCTURE 6. Electronic Structure Calculations 7. Materials science???Data processing 8. MATHEMATICAL PHYSICS 9. OPTICAL ENGINEERING 10. OPTOELECTRONIC DEVICES 11. PHOTONICS 12. Photonics and Optical Engineering 13. Photovoltaic power generation 14. PHOTOVOLTAICS 15. Quantum chemistry???Computer programs 16. SEMICONDUCTORS
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TitleMaterials Interaction with Femtosecond Lasers : Theory and Ultra-Large-Scale Simulations of Thermal and Nonthermal Pheomena
Author(s)Bauerhenne, Bernd
PublicationCham, Springer International Publishing, 2021.
DescriptionXXXII, 536 p. 224 illus., 161 illus. in color : online resource
Abstract NoteThis book presents a unified view of the response of materials as a result of femtosecond laser excitation, introducing a general theory that captures both ultrashort-time non-thermal and long-time thermal phenomena. It includes a novel method for performing ultra-large-scale molecular dynamics simulations extending into experimental and technological spatial dimensions with ab-initio precision. For this, it introduces a new class of interatomic potentials, constructed from ab-initio data with the help of a self-learning algorithm, and verified by direct comparison with experiments in two different materials ??? the semiconductor silicon and the semimetal antimony. In addition to a detailed description of the new concepts introduced, as well as giving a timely review of ultrafast phenomena, the book provides a rigorous introduction to the field of laser???matter interaction and ab-initio description of solids, delivering a complete and self-contained examination of the topic from the very first principles. It explains, step by step from the basic physical principles, the underlying concepts in quantum mechanics, solid-state physics, thermodynamics, statistical mechanics, and electrodynamics, introducing all necessary mathematical theorems as well as their proofs. A collection of appendices provide the reader with an appropriate review of many fundamental mathematical concepts, as well as important analytical and numerical parameters used in the simulations
ISBN,Price9783030851354
Keyword(s)1. Computational Physics and Simulations 2. COMPUTER SIMULATION 3. CONDENSED MATTER 4. CONDENSED MATTER PHYSICS 5. EBOOK 6. EBOOK - SPRINGER 7. Laser-Matter Interaction 8. LASERS 9. MATHEMATICAL PHYSICS 10. MOLECULAR DYNAMICS 11. SEMICONDUCTORS 12. Theoretical, Mathematical and Computational Physics
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TitleDistribution of Energy Momentum Tensor around Static Charges in Lattice Simulations and an Effective Model
Author(s)Yanagihara, Ryosuke
PublicationSingapore, Springer Nature Singapore, 2021.
DescriptionXVI, 158 p. 49 illus., 40 illus. in color : online resource
Abstract NoteThe energy momentum tensor (EMT) is one of the most fundamental observables in physics. Recently, a novel method to define EMT on the basis of the gradient-flow formalism has been proposed. It turned out that the EMT operator can be constructed even on the lattice with the method, which enables non-perturbative computations. This approach has been successfully applied to the analyses on thermodynamic quantities. This book presents the study on spatial EMT distributions around static charges via the gradient flow in lattice simulations based on SU(3) Yang-Mills theory. Static charges are employed as probes to explore complex quantum systems, and EMT then characterizes the response of vacuum as well as hot medium under the existence of the charges, which significantly provides profound and novel insights into the non-perturbative phenomena, such as the confinement of quarks. In addition, the book treats the study on the EMT distribution around a magnetic vortex in the Abelian-Higgs model, which is compared with the lattice result. These achievements open up various future studies for revealing non-trivial aspects of the strong interaction. The book also includes well-organized reviews on general properties of EMT, lattice gauge theory and the gradient-flow formalism with its application to the definition of EMT. They are useful for students and young researchers as a brief introduction to this field.
ISBN,Price9789811662348
Keyword(s)1. Computational Physics and Simulations 2. COMPUTER SIMULATION 3. EBOOK 4. EBOOK - SPRINGER 5. Elementary particles (Physics) 6. Elementary Particles, Quantum Field Theory 7. MATHEMATICAL PHYSICS 8. Nuclear and Particle Physics 9. NUCLEAR PHYSICS 10. QUANTUM FIELD THEORY
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TitleAdvances in Social Simulation : Proceedings of the 15th Social Simulation Conference: 23???27 September 2019
Author(s)Ahrweiler, Petra;Neumann, Martin
PublicationCham, Springer International Publishing, 2021.
DescriptionXXII, 603 p. 140 illus., 108 illus. in color : online resource
Abstract NoteThis book presents the state of the art in social simulation as presented at the Social Simulation Conference 2019 in Mainz, Germany. It covers the developments in applications and methods of social simulation, addressing societal issues such as socio-ecological systems and policymaking. Methodological issues discussed include large-scale empirical calibration, model sharing and interdisciplinary research, as well as decision-making models, validation and the use of qualitative data in simulation modeling. Research areas covered include archaeology, cognitive science, economics, organization science and social simulation education. This book gives readers insight into the increasing use of social simulation in both its theoretical development and in practical applications such as policymaking whereby modeling and the behavior of complex systems is key. The book appeals to students, researchers and professionals in the various fields.
ISBN,Price9783030615031
Keyword(s)1. COMPLEX SYSTEMS 2. Computational Intelligence 3. Computational Physics and Simulations 4. COMPUTER SIMULATION 5. EBOOK 6. EBOOK - SPRINGER 7. MATHEMATICAL PHYSICS 8. SYSTEM THEORY
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7.     
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TitleDeep Learning and Physics
Author(s)Tanaka, Akinori;Tomiya, Akio;Hashimoto, Koji
PublicationSingapore, Springer Nature Singapore, 2021.
DescriptionXIII, 207 p. 46 illus., 29 illus. in color : online resource
Abstract NoteWhat is deep learning for those who study physics? Is it completely different from physics? Or is it similar? In recent years, machine learning, including deep learning, has begun to be used in various physics studies. Why is that? Is knowing physics useful in machine learning? Conversely, is knowing machine learning useful in physics? This book is devoted to answers of these questions. Starting with basic ideas of physics, neural networks are derived naturally. And you can learn the concepts of deep learning through the words of physics. In fact, the foundation of machine learning can be attributed to physical concepts. Hamiltonians that determine physical systems characterize various machine learning structures. Statistical physics given by Hamiltonians defines machine learning by neural networks. Furthermore, solving inverse problems in physics through machine learning and generalization essentially provides progress and even revolutions in physics. For these reasons, in recent years interdisciplinary research in machine learning and physics has been expanding dramatically. This book is written for anyone who wants to learn, understand, and apply the relationship between deep learning/machine learning and physics. All that is needed to read this book are the basic concepts in physics: energy and Hamiltonians. The concepts of statistical mechanics and the bracket notation of quantum mechanics, which are explained in columns, are used to explain deep learning frameworks. We encourage you to explore this new active field of machine learning and physics, with this book as a map of the continent to be explored
ISBN,Price9789813361089
Keyword(s)1. Computational Physics and Simulations 2. COMPUTER SIMULATION 3. EBOOK 4. EBOOK - SPRINGER 5. MACHINE LEARNING 6. MATHEMATICAL PHYSICS 7. STATISTICAL PHYSICS 8. Theoretical, Mathematical and Computational Physics
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TitleSpecial Functions in Physics with MATLAB
Author(s)Schweizer, Wolfgang
PublicationCham, Springer International Publishing, 2021.
DescriptionXVII, 282 p. 49 illus., 17 illus. in color : online resource
Abstract NoteThis handbook focuses on special functions in physics in the real and complex domain. It covers more than 170 different functions with additional numerical hints for efficient computation, which are useful to anyone who needs to program with other programming languages as well. The book comes with MATLAB-based programs for each of these functions and a detailed html-based documentation. Some of the explained functions are: Gamma and Beta functions; Legendre functions, which are linked to quantum mechanics and electrodynamics; Bessel functions; hypergeometric functions, which play an important role in mathematical physics; orthogonal polynomials, which are largely used in computational physics; and Riemann zeta functions, which play an important role, e.g., in quantum chaos or string theory. The book???s primary audience are scientists, professionals working in research areas of industries, and advanced students in physics, applied mathematics, and engineering
ISBN,Price9783030642327
Keyword(s)1. Computational Mathematics and Numerical Analysis 2. Computational Physics and Simulations 3. COMPUTER SIMULATION 4. EBOOK 5. EBOOK - SPRINGER 6. MATHEMATICAL PHYSICS 7. Mathematics???Data processing 8. SPECIAL FUNCTIONS 9. Theoretical, Mathematical and Computational Physics
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9.     
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TitleIntroduction to Simple Shock Waves in Air : With Numerical Solutions Using Artificial Viscosity
Author(s)Prunty, Se??n
PublicationCham, Springer International Publishing, 2021.
DescriptionXV, 344 p. 164 illus., 5 illus. in color : online resource
Abstract NoteThis book provides an elementary introduction to one-dimensional fluid flow problems involving shock waves in air. The differential equations of fluid flow are approximated by finite difference equations and these in turn are numerically integrated in a stepwise manner, with artificial viscosity introduced into the numerical calculations in order to deal with shocks. This treatment of the subject is focused on the finite-difference approach to solve the coupled differential equations of fluid flow and presents the results arising from the numerical solution using Mathcad programming. Both plane and spherical shock waves are discussed with particular emphasis on very strong explosive shocks in air. This expanded second edition features substantial new material on sound wave parameters, Riemann's method for numerical integration of the equations of motion, approximate analytical expressions for weak shock waves, short duration piston motion, numerical results for shock wave interactions, and new appendices on the piston withdrawal problem and numerical results for a closed shock tube. This text will appeal to students, researchers, and professionals in shock wave research and related fields. Students in particular will appreciate the benefits of numerical methods in fluid mechanics and the level of presentation
ISBN,Price9783030636067
Keyword(s)1. Computational Physics and Simulations 2. COMPUTER SIMULATION 3. CONTINUUM MECHANICS 4. EBOOK 5. EBOOK - SPRINGER 6. Engineering Fluid Dynamics 7. FLUID MECHANICS 8. FLUIDS 9. MATHEMATICAL PHYSICS 10. NUMERICAL ANALYSIS 11. Soft condensed matter
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10.    
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TitleChemical Master Equation for Large Biological Networks : State-space Expansion Methods Using AI
Author(s)Kulasiri, Don;Kosarwal, Rahul
PublicationSingapore, Springer Nature Singapore, 2021.
DescriptionXVIII, 217 p. 372 illus., 104 illus. in color : online resource
Abstract NoteThis book highlights the theory and practical applications of the chemical master equation (CME) approach for very large biochemical networks, which provides a powerful general framework for model building in a variety of biological networks. The aim of the book is to not only highlight advanced numerical solution methods for the CME, but also reveal their potential by means of practical examples. The case studies presented are mainly from biology; however, the applications from novel methods are discussed comprehensively, underlining the interdisciplinary approach in simulation and the potential of the chemical master equation approach for modelling bionetworks. The book is a valuable guide for researchers, graduate students, and professionals alike
ISBN,Price9789811653513
Keyword(s)1. ARTIFICIAL INTELLIGENCE 2. BIOINFORMATICS 3. BIOMATHEMATICS 4. Computational and Systems Biology 5. Computational Intelligence 6. Computational Physics and Simulations 7. COMPUTER SIMULATION 8. EBOOK 9. EBOOK - SPRINGER 10. Mathematical and Computational Biology 11. MATHEMATICAL PHYSICS
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