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Author | Title | Accn# | Year | Item Type | Claims |
| 11 |
Solov???yov, Ilia A |
Multiscale Modeling of Complex Molecular Structure and Dynamics with MBN Explorer |
I09337 |
2017 |
eBook |
|
| 12 |
Dur??n, Juan Manuel |
Computer Simulations in Science and Engineering |
I09280 |
2018 |
eBook |
|
| 13 |
Kerner, Boris S |
Complex Dynamics of Traffic Management |
I09165 |
2019 |
eBook |
|
| 14 |
Berea, Anamaria |
Emergence of Communication in Socio-Biological Networks |
I09139 |
2018 |
eBook |
|
| 15 |
Tsukerman, Igor |
Computational Methods for Nanoscale Applications |
I09119 |
2020 |
eBook |
|
| 16 |
Skiadas, Christos H |
11th Chaotic Modeling and Simulation International Conference |
I09072 |
2019 |
eBook |
|
| 17 |
McClarren, Ryan G |
Uncertainty Quantification and Predictive Computational Science |
I08959 |
2018 |
eBook |
|
| 18 |
Shibuya, Ryosuke |
Dynamical Characteristics of Inertia-Gravity Waves in the Antarctic Mesosphere |
I08792 |
2020 |
eBook |
|
| 19 |
Binder, Kurt |
Monte Carlo Simulation in Statistical Physics |
I08583 |
2019 |
eBook |
|
| 20 |
Landau, David P |
Computer Simulation Studies in Condensed-Matter Physics XV |
I11434 |
2003 |
eBook |
|
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11.
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| Title | Multiscale Modeling of Complex Molecular Structure and Dynamics with MBN Explorer |
| Author(s) | Solov???yov, Ilia A;Korol, Andrey V;Solov???yov, Andrey V |
| Publication | Cham, Springer International Publishing, 2017. |
| Description | XV, 451 p. 209 illus., 202 illus. in color : online resource |
| Abstract Note | This book introduces readers to MesoBioNano (MBN) Explorer ??? a multi-purpose software package designed to model molecular systems at various levels of size and complexity. In addition, it presents a specially designed multi-task toolkit and interface ??? the MBN Studio ??? which enables the set-up of input files, controls the simulations, and supports the subsequent visualization and analysis of the results obtained. The book subsequently provides a systematic description of the capabilities of this universal and powerful software package within the framework of computational molecular science, and guides readers through its applications in numerous areas of research in bio- and chemical physics and material science ??? ranging from the nano- to the meso-scale. MBN Explorer is particularly suited to computing the system???s energy, to optimizing molecular structure, and to exploring the various facets of molecular and random walk dynamics. The package allows the use of a broad variety of interatomic potentials and can, e.g., be configured to select any subset of a molecular system as rigid fragments, whenever a significant reduction in the number of dynamical degrees of freedom is required for computational practicalities. MBN Studio enables users to easily construct initial geometries for the molecular, liquid, crystalline, gaseous and hybrid systems that serve as input for the subsequent simulations of their physical and chemical properties using MBN Explorer. Despite its universality, the computational efficiency of MBN Explorer is comparable to that of other, more specialized software packages, making it a viable multi-purpose alternative for the computational modeling of complex molecular systems. A number of detailed case studies presented in the second part of this book demonstrate MBN Explorer???s usefulness and efficiency in the fields of atomic clusters and nanoparticles, biomolecular systems, nanostructured materials, composite materials and hybrid systems, crystals, liquids and gases, as well as in providing modeling support for novel and emerging technologies. Last but not least, with the release of the 3rd edition of MBN Explorer in spring 2017, a free trial version will be available from the MBN Research Center website (mbnresearch.com) |
| ISBN,Price | 9783319560878 |
| Keyword(s) | 1. Atomic, Molecular, Optical and Plasma Physics
2. ATOMS
3. Biological and Medical Physics, Biophysics
4. BIOLOGICAL PHYSICS
5. BIOPHYSICS
6. Chemistry, Physical and theoretical
7. COMPUTER SIMULATION
8. EBOOK
9. EBOOK - SPRINGER
10. MAGNETIC MATERIALS
11. MAGNETISM
12. Magnetism, Magnetic Materials
13. Numerical and Computational Physics, Simulation
14. PHYSICS
15. Simulation and Modeling
16. Theoretical and Computational Chemistry
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09337 |
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On Shelf |
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12.
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| Title | Computer Simulations in Science and Engineering : Concepts - Practices - Perspectives |
| Author(s) | Dur??n, Juan Manuel |
| Publication | Cham, Springer International Publishing, 2018. |
| Description | XXI, 209 p. 13 illus : online resource |
| Abstract Note | This book addresses key conceptual issues relating to the modern scientific and engineering use of computer simulations. It analyses a broad set of questions, from the nature of computer simulations to their epistemological power, including the many scientific, social and ethics implications of using computer simulations. The book is written in an easily accessible narrative, one that weaves together philosophical questions and scientific technicalities. It will thus appeal equally to all academic scientists, engineers, and researchers in industry interested in questions (and conceivable answers) related to the general practice of computer simulations |
| ISBN,Price | 9783319908823 |
| Keyword(s) | 1. APPLIED MATHEMATICS
2. Computational Science and Engineering
3. Computer mathematics
4. COMPUTER SIMULATION
5. EBOOK
6. EBOOK - SPRINGER
7. ENGINEERING MATHEMATICS
8. Mathematical and Computational Engineering
9. Numerical and Computational Physics, Simulation
10. Philosophy and science
11. PHILOSOPHY OF SCIENCE
12. PHYSICS
13. Simulation and Modeling
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09280 |
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On Shelf |
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13.
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| Title | Complex Dynamics of Traffic Management |
| Author(s) | Kerner, Boris S |
| Publication | New York, NY, Springer US, 2019. |
| Description | 425 illus., 137 illus. in color. eReference : online resource |
| Abstract Note | This volume in the Encyclopedia of Complexity and Systems Science (ECSS) covers such fascinating and practical topics as (i) Vehicular traffic flow theory, (ii) Studies of real field traffic data, (iii) Complex phenomena of self-organization in vehicular traffic, (iv) Effect of automatic driving (self-driving vehicles) on traffic flow, v) Complex dynamics of city traffic, (vi) Dynamic control and optimization of traffic and transportation networks, including dynamic traffic assignment in the network, (vii) Pedestrian traffic, (viii) Evacuation scenarios, and (ix) Network characteristics of air control. Review articles are written by international experts covering the diverse and complex dynamics of traffic management. Topics new to the Second Edition of ECSS include microscopic traffic flow models, self-driving, complex dynamics of bus, tram and elevator delays, and breakdown minimization |
| ISBN,Price | 9781493987634 |
| Keyword(s) | 1. Applications of Graph Theory and Complex Networks
2. APPLIED MATHEMATICS
3. COMPUTER SIMULATION
4. EBOOK
5. EBOOK - SPRINGER
6. ENGINEERING MATHEMATICS
7. Mathematical and Computational Engineering
8. PHYSICS
9. Simulation and Modeling
10. Sociology, Urban
11. Traffic engineering
12. TRANSPORTATION
13. Transportation engineering
14. Transportation Technology and Traffic Engineering
15. Urban Studies/Sociology
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09165 |
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On Shelf |
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14.
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| Title | Emergence of Communication in Socio-Biological Networks |
| Author(s) | Berea, Anamaria |
| Publication | Cham, Springer International Publishing, 2018. |
| Description | VIII, 88 p : online resource |
| Abstract Note | This book integrates current advances in biology, economics of information and linguistics research through applications using agent-based modeling and social network analysis to develop scenarios of communication and language emergence in the social aspects of biological communications.??The book presents a model of communication emergence that can be applied both to human and non-human living organism networks. The model is based on economic concepts and individual behavior fundamental for the study of trust and reputation networks in social science, particularly in economics; it is also based on the theory of the emergence of norms and historical path dependence that has been influential in institutional economics. Also included are mathematical models and code for agent-based models to explore various scenarios of language evolution, as well as a computer application that explores language and communication in biological versus social organisms, and the emergence of various meanings and grammars in human networks. Emergence of Communication in Socio-Biological Networks??offers both a completely novel approach to communication emergence and language evolution and provides a path for the reader to explore various scenarios of language and communication that are not constrained to the human networks alone. By illustrating how computational social science and the complex systems approach can incorporate multiple disciplines and offer an integrated theory-model approach to the evolution of language, the book will be of interest to researchers working with computational linguistics, mathematical linguistics, and complex systems |
| ISBN,Price | 9783319645650 |
| Keyword(s) | 1. Biological systems
2. Computational linguistics
3. COMPUTER SIMULATION
4. Data-driven Science, Modeling and Theory Building
5. EBOOK
6. EBOOK - SPRINGER
7. ECONOPHYSICS
8. Simulation and Modeling
9. Sociophysics
10. Systems biology
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09139 |
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On Shelf |
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15.
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| Title | Computational Methods for Nanoscale Applications : Particles, Plasmons and Waves |
| Author(s) | Tsukerman, Igor |
| Publication | Cham, Springer International Publishing, 2020. |
| Description | XXVII, 707 p. 216 illus., 139 illus. in color : online resource |
| Abstract Note | This second edition of a well-received book presents new perspectives on modern nanoscale problems, where fundamental science meets technology and computer modeling. Along with traditional computational techniques such as finite-difference schemes, finite element analysis and Ewald summation, the book describes a new finite-difference calculus of Flexible Local Approximation MEthods (FLAME), which qualitatively improves the numerical accuracy in a variety of problems. Application areas in the book include long-range particle interactions in homogeneous and heterogeneous media, electrostatics of colloidal systems, wave propagation in photonic crystals, photonic band structure, plasmonic field enhancement, metamaterials, backward waves and negative refraction, cloaking, focusing beyond the diffraction limit, and transformation optics. The second edition incorporates new chapters on metamaterials and on the finite difference time domain method (FDTD), an exposition of absorbing boundary conditions, and Miscellany ??? a collection of paradoxical or controversial subjects related to the main topics of this book. A vast volume of material has been updated, revised or rewritten. Computational Methods for Nanoscale Applications, Second Edition, is accessible to specialists and graduate students in diverse areas of nanoscale science and technology, including physics, engineering, chemistry, and applied mathematics. In addition, several advanced topics will be of interest to the expert reader |
| ISBN,Price | 9783030438937 |
| Keyword(s) | 1. COMPUTER SIMULATION
2. EBOOK
3. EBOOK - SPRINGER
4. LASERS
5. MATHEMATICAL PHYSICS
6. Nanoscale science
7. Nanoscale Science and Technology
8. NANOSCIENCE
9. Nanostructures
10. NANOTECHNOLOGY
11. Nanotechnology and Microengineering
12. Optics, Lasers, Photonics, Optical Devices
13. PHOTONICS
14. Simulation and Modeling
15. Theoretical, Mathematical and Computational Physics
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09119 |
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On Shelf |
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16.
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| Title | 11th Chaotic Modeling and Simulation International Conference |
| Author(s) | Skiadas, Christos H;Lubashevsky, Ihor |
| Publication | Cham, Springer International Publishing, 2019. |
| Description | XIII, 318 p. 161 illus., 97 illus. in color : online resource |
| Abstract Note | Gathering the proceedings of the 11th CHAOS2018 International Conference, this book highlights recent developments in nonlinear, dynamical and complex systems. The conference was intended to provide an essential forum for Scientists and Engineers to exchange ideas, methods, and techniques in the field of Nonlinear Dynamics, Chaos, Fractals and their applications in General Science and the Engineering Sciences. The respective chapters address key methods, empirical data and computer techniques, as well as major theoretical advances in the applied nonlinear field. Beyond showcasing the state of the art, the book will help academic and industrial researchers alike apply chaotic theory in their studies. |
| ISBN,Price | 9783030152970 |
| Keyword(s) | 1. Applied Science, multidisciplinary
2. COMPLEX SYSTEMS
3. COMPLEXITY
4. COMPUTATIONAL COMPLEXITY
5. COMPUTER SIMULATION
6. DYNAMICAL SYSTEMS
7. EBOOK
8. EBOOK - SPRINGER
9. GAME THEORY
10. Game Theory, Economics, Social and Behav. Sciences
11. Simulation and Modeling
12. STATISTICAL PHYSICS
13. TECHNOLOGY
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09072 |
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On Shelf |
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17.
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| Title | Uncertainty Quantification and Predictive Computational Science : A Foundation for Physical Scientists and Engineers |
| Author(s) | McClarren, Ryan G |
| Publication | Cham, Springer International Publishing, 2018. |
| Description | XVII, 345 p. 141 illus., 99 illus. in color : online resource |
| Abstract Note | This textbook teaches the essential background and skills for understanding and quantifying uncertainties in a computational simulation, and for predicting the behavior of a system under those uncertainties. It addresses a critical knowledge gap in the widespread adoption of simulation in high-consequence decision-making throughout the engineering and physical sciences.Constructing sophisticated techniques for prediction from basic building blocks, the book first reviews the fundamentals that underpin later topics of the book including probability, sampling, and Bayesian statistics. Part II focuses on applying local sensitivity analysis to apportion uncertainty in the model outputs to sources of uncertainty in its inputs. Part III demonstrates techniques for quantifying the impact of parametric uncertainties on a problem, specifically how input uncertainties affect outputs. The final section covers techniques for applying uncertainty quantification to make predictions under uncertainty, including treatment of epistemic uncertainties. It presents the theory and practice of predicting the behavior of a system based on the aggregation of data from simulation, theory, and experiment. The text focuses on simulations based on the solution of systems of partial differential equations and includes in-depth coverage of Monte Carlo methods, basic design of computer experiments, as well as regularized statistical techniques. Code references, in R and python, appear throughout the text and online as executable code, enabling readers to perform the analysis under discussion. Worked examples from realistic, model problems help readers understand the mechanics of applying the methods. Each chapter ends with several assignable problems. Uncertainty Quantification and Predictive Computational Science fills the growing need for a classroom text for senior undergraduate and first year graduate students in the engineering and physical sciences and supports independent study by researchers and professionals who must include uncertainty quantification and predictive science in the simulations they develop and/or perform. Organizes interdisciplinary topics of uncertainty quantification into a single teaching text Reviews the fundamentals of probability and statistics Guides the transition from merely performing calculations to making confident predictions Builds readers??? confidence in the validity of their simulations Illustrates concepts with real-world examples and models from the physical sciences and engineering Includes R and python code, enabling readers to perform the analysis |
| ISBN,Price | 9783319995250 |
| Keyword(s) | 1. APPLIED MATHEMATICS
2. Computational Science and Engineering
3. Computer mathematics
4. COMPUTER SIMULATION
5. EBOOK
6. EBOOK - SPRINGER
7. ENGINEERING MATHEMATICS
8. Mathematical and Computational Engineering
9. Mathematical Applications in the Physical Sciences
10. MATHEMATICAL PHYSICS
11. Numerical and Computational Physics, Simulation
12. PHYSICS
13. Simulation and Modeling
14. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
15. Statistics??
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I08959 |
|
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On Shelf |
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19.
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| Title | Monte Carlo Simulation in Statistical Physics : An Introduction |
| Author(s) | Binder, Kurt;Heermann, Dieter W |
| Publication | Cham, Springer International Publishing, 2019. |
| Description | XVII, 258 p. 155 illus., 5 illus. in color : online resource |
| Abstract Note | The sixth edition of this highly successful textbook provides a detailed introduction to Monte Carlo simulation in statistical physics, which deals with the computer simulation of many-body systems in condensed matter physics and related fields of physics and beyond (traffic flows, stock market fluctuations, etc.). Using random numbers generated by a computer, these powerful simulation methods calculate probability distributions, making it possible to estimate the thermodynamic properties of various systems. The book describes the theoretical background of these methods, enabling newcomers to perform such simulations and to analyse their results. It features a modular structure, with two chapters providing a basic pedagogic introduction plus exercises suitable for university courses; the remaining chapters cover major recent developments in the field. This edition has been updated with two new chapters dealing with recently developed powerful special algorithms and with finite size scaling tools for the study of interfacial phenomena, which are important for nanoscience. Previous editions have been highly praised and widely used by both students and advanced researchers |
| ISBN,Price | 9783030107581 |
| Keyword(s) | 1. COMPLEX SYSTEMS
2. COMPUTER SIMULATION
3. CONDENSED MATTER
4. CONDENSED MATTER PHYSICS
5. DYNAMICAL SYSTEMS
6. EBOOK
7. EBOOK - SPRINGER
8. MATHEMATICAL PHYSICS
9. Numerical and Computational Physics, Simulation
10. PHYSICAL CHEMISTRY
11. PHYSICS
12. Simulation and Modeling
13. STATISTICAL PHYSICS
|
| Item Type | eBook |
Multi-Media Links
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| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I08583 |
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On Shelf |
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20.
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| Title | Computer Simulation Studies in Condensed-Matter Physics XV : Proceedings of the Fifteenth Workshop Athens, GA, USA, March 11???15, 2002 |
| Author(s) | Landau, David P;Lewis, Steven P;Sch??ttler, Heinz-Bernd |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2003. |
| Description | IX, 222 p : online resource |
| Abstract Note | This book is a status report. It provides a broad overview of the most recent developments in the field, spanning a wide range of topical areas in simulational condensed matter physics. These areas include recent developments in simulations of classical statistical mechanics models, electronic structure calculations, quantum simulations, and simulations of polymers. Both new physical results and novel simulational and data analysis methods are presented. Some of the highlights of this volume include detailed accounts of recent theoretical developments in electronic structure calculations, novel quantum simulation techniques and their applications to strongly interacting lattice fermion models, and a wide variety of applications of existing methods as well as novel methods in the simulation of classical statistical mechanics models, including spin glasses and polymers |
| ISBN,Price | 9783642555220 |
| Keyword(s) | 1. COMPUTER SIMULATION
2. CONDENSED MATTER
3. CONDENSED MATTER PHYSICS
4. EBOOK
5. EBOOK - SPRINGER
6. MATHEMATICAL PHYSICS
7. Simulation and Modeling
8. Theoretical, Mathematical and Computational Physics
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11434 |
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On Shelf |
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