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11 Eu, Byung Chan Kinetic Theory of Nonequilibrium Ensembles, Irreversible Thermodynamics, and Generalized Hydrodynamics I10217 2016 eBook  
12 Wegner, Franz Supermathematics and its Applications in Statistical Physics I10181 2016 eBook  
13 Kr??ger, Timm The Lattice Boltzmann Method I10145 2017 eBook  
14 C??ceres, Manuel Osvaldo Non-equilibrium Statistical Physics with Application to Disordered Systems I10110 2017 eBook  
15 Nemoto, Takahiro Phenomenological Structure for the Large Deviation Principle in Time-Series Statistics I10088 2016 eBook  
16 Ito, Sosuke Information Thermodynamics on Causal Networks and its Application to Biochemical Signal Transduction I10079 2016 eBook  
17 Ryabov, Artem Stochastic Dynamics and Energetics of Biomolecular Systems I10078 2016 eBook  
18 Bolotin, Yurii Chaos: Concepts, Control and Constructive Use I10077 2017 eBook  
19 Ellis, George How Can Physics Underlie the Mind? I10069 2016 eBook  
20 Antenucci, Fabrizio Statistical Physics of Wave Interactions I10055 2016 eBook  
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11.    
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TitleKinetic Theory of Nonequilibrium Ensembles, Irreversible Thermodynamics, and Generalized Hydrodynamics : Volume 1. Nonrelativistic Theories
Author(s)Eu, Byung Chan
PublicationCham, Springer International Publishing, 2016.
DescriptionXIV, 603 p. 15 illus., 4 illus. in color : online resource
Abstract NoteThis book presents the fundamentals of irreversible thermodynamics for nonlinear transport processes in gases and liquids, as well as for generalized hydrodynamics extending the classical hydrodynamics of Navier, Stokes, Fourier, and Fick. Together with its companion volume on relativistic theories, it provides a comprehensive picture of the kinetic theory formulated from the viewpoint of nonequilibrium ensembles in both nonrelativistic and, in Vol. 2, relativistic contexts. Theories of macroscopic irreversible processes must strictly conform to the thermodynamic laws at every step and in all approximations that enter their derivation from the mechanical principles. Upholding this as the inviolable tenet, the author develops theories of irreversible transport processes in fluids (gases or liquids) on the basis of irreversible kinetic equations satisfying the H theorem. They apply regardless of whether the processes are near to or far removed from equilibrium, or whether they are linear or nonlinear with respect to macroscopic fluxes or thermodynamic forces. Both irreversible Boltzmann and generalized Boltzmann equations are used for deriving theories of irreversible transport equations and generalized hydrodynamic equations, which rigorously conform to the tenet. All observables described by the so-formulated theories therefore also strictly obey the tenet
ISBN,Price9783319411477
Keyword(s)1. COMPLEX SYSTEMS 2. DYNAMICAL SYSTEMS 3. EBOOK 4. EBOOK - SPRINGER 5. Mathematical Methods in Physics 6. PHYSICS 7. STATISTICAL PHYSICS 8. Statistical Physics and Dynamical Systems 9. THERMODYNAMICS
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12.     
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TitleSupermathematics and its Applications in Statistical Physics : Grassmann Variables and the Method of Supersymmetry
Author(s)Wegner, Franz
PublicationBerlin, Heidelberg, Springer Berlin Heidelberg, 2016.
DescriptionXVII, 374 p. 15 illus., 12 illus. in color : online resource
Abstract NoteThis text presents the mathematical concepts of Grassmann variables and the method of supersymmetry to a broad audience of physicists interested in applying these tools to disordered and critical systems, as well as related topics in statistical physics. Based on many courses and seminars held by the author, one of the pioneers in this field, the reader is given a systematic and tutorial introduction to the subject matter. The algebra and analysis of Grassmann variables is presented in part I. The mathematics of these variables is applied to a random matrix model, path integrals for fermions, dimer models and the Ising model in two dimensions. Supermathematics - the use of commuting and anticommuting variables on an equal footing - is the subject of part II. The properties of supervectors and supermatrices, which contain both commuting and Grassmann components, are treated in great detail, including the derivation of integral theorems. In part III, supersymmetric physical models are considered. While supersymmetry was first introduced in elementary particle physics as exact symmetry between bosons and fermions, the formal introduction of anticommuting spacetime components, can be extended to problems of statistical physics, and, since it connects states with equal energies, has also found its way into quantum mechanics. Several models are considered in the applications, after which the representation of the random matrix model by the nonlinear sigma-model, the determination of the density of states and the level correlation are derived. Eventually, the mobility edge behavior is discussed and a short account of the ten symmetry classes of disorder, two-dimensional disordered models, and superbosonization is given
ISBN,Price9783662491706
Keyword(s)1. COMPLEX SYSTEMS 2. DYNAMICAL SYSTEMS 3. EBOOK 4. EBOOK - SPRINGER 5. Mathematical Applications in the Physical Sciences 6. Mathematical Methods in Physics 7. MATHEMATICAL PHYSICS 8. PHYSICS 9. STATISTICAL PHYSICS 10. Statistical Physics and Dynamical Systems
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13.     
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TitleThe Lattice Boltzmann Method : Principles and Practice
Author(s)Kr??ger, Timm;Kusumaatmaja, Halim;Kuzmin, Alexandr;Shardt, Orest;Silva, Goncalo;Viggen, Erlend Magnus
PublicationCham, Springer International Publishing, 2017.
DescriptionXXIV, 694 p. 126 illus : online resource
Abstract NoteThis book is an introduction to the theory, practice, and implementation of the Lattice Boltzmann (LB) method, a powerful computational fluid dynamics method that is steadily gaining attention due to its simplicity, scalability, extensibility, and simple handling of complex geometries. The book contains chapters on the method's background, fundamental theory, advanced extensions, and implementation. To aid beginners, the most essential paragraphs in each chapter are highlighted, and the introductory chapters on various LB topics are front-loaded with special "in a nutshell" sections that condense the chapter's most important practical results. Together, these sections can be used to quickly get up and running with the method. Exercises are integrated throughout the text, and frequently asked questions about the method are dealt with in a special section at the beginning. In the book itself and through its web page, readers can find example codes showing how the LB method can be implemented efficiently on a variety of hardware platforms, including multi-core processors, clusters, and graphics processing units. Students and scientists learning and using the LB method will appreciate the wealth of clearly presented and structured information in this volume
ISBN,Price9783319446493
Keyword(s)1. COMPLEX SYSTEMS 2. Computational Mathematics and Numerical Analysis 3. Computer mathematics 4. DYNAMICAL SYSTEMS 5. EBOOK 6. EBOOK - SPRINGER 7. Engineering Fluid Dynamics 8. FLUID MECHANICS 9. Fluid- and Aerodynamics 10. FLUIDS 11. Numerical and Computational Physics, Simulation 12. PHYSICS 13. STATISTICAL PHYSICS 14. Statistical Physics and Dynamical Systems
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14.     
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TitleNon-equilibrium Statistical Physics with Application to Disordered Systems
Author(s)C??ceres, Manuel Osvaldo
PublicationCham, Springer International Publishing, 2017.
DescriptionXXIV, 556 p. 51 illus : online resource
Abstract NoteThis textbook is the result of the enhancement of several courses on non-equilibrium statistics, stochastic processes, stochastic differential equations, anomalous diffusion and disorder. The target audience includes students of physics, mathematics, biology, chemistry, and engineering at undergraduate and graduate level with a grasp of the basic elements of mathematics and physics of the fourth year of a typical undergraduate course. The little-known physical and mathematical concepts are described in sections and specific exercises throughout the text, as well as in appendices. Physical-mathematical motivation is the main driving force for the development of this text. It presents the academic topics of probability theory and stochastic processes as well as new educational aspects in the presentation of non-equilibrium statistical theory and stochastic differential equations.. In particular it discusses the problem of irreversibility in that context and the dynamics of Fokker-Planck. An introduction on fluctuations around metastable and unstable points are given. It also describes relaxation theory of non-stationary Markov periodic in time systems. The theory of finite and infinite transport in disordered networks, with a discussion of the issue of anomalous diffusion is introduced. Further, it provides the basis for establishing the relationship between quantum aspects of the theory of linear response and the calculation of diffusion coefficients in amorphous systems
ISBN,Price9783319515533
Keyword(s)1. COMPLEX SYSTEMS 2. DYNAMICAL SYSTEMS 3. EBOOK 4. EBOOK - SPRINGER 5. Engineering Thermodynamics, Heat and Mass Transfer 6. Heat engineering 7. HEAT TRANSFER 8. MASS TRANSFER 9. MATHEMATICAL PHYSICS 10. PHYSICAL CHEMISTRY 11. STATISTICAL PHYSICS 12. Statistical Physics and Dynamical Systems 13. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences 14. Statistics?? 15. THERMODYNAMICS
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15.     
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TitlePhenomenological Structure for the Large Deviation Principle in Time-Series Statistics : A method to control the rare events in non-equilibrium systems
Author(s)Nemoto, Takahiro
PublicationSingapore, Springer Singapore, 2016.
DescriptionXIII, 127 p. 35 illus., 7 illus. in color : online resource
Abstract NoteThis thesis describes a method to control rare events in non-equilibrium systems by applying physical forces to those systems but without relying on numerical simulation techniques, such as copying rare events. In order to study this method, the book draws on the mathematical structure of equilibrium statistical mechanics, which connects large deviation functions with experimentally measureable thermodynamic functions. Referring to this specific structure as the ???phenomenological structure for the large deviation principle???, the author subsequently extends it to time-series statistics that can be used to describe non-equilibrium physics. The book features pedagogical explanations and also shows many open problems to which the proposed method can be applied only to a limited extent. Beyond highlighting these challenging problems as a point of departure, it especially offers an effective means of description for rare events, which could become the next paradigm of non-equilibrium statistical mechanics
ISBN,Price9789812878113
Keyword(s)1. COMPLEX SYSTEMS 2. DYNAMICAL SYSTEMS 3. EBOOK 4. EBOOK - SPRINGER 5. MATHEMATICAL PHYSICS 6. STATISTICAL PHYSICS 7. Statistical Physics and Dynamical Systems 8. THERMODYNAMICS
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16.     
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TitleInformation Thermodynamics on Causal Networks and its Application to Biochemical Signal Transduction
Author(s)Ito, Sosuke
PublicationSingapore, Springer Singapore, 2016.
DescriptionXIII, 133 p. 32 illus., 28 illus. in color : online resource
Abstract NoteIn this book the author presents a general formalism of nonequilibrium thermodynamics with complex information flows induced by interactions among multiple fluctuating systems. The author has generalized stochastic thermodynamics with information by using a graphical theory. Characterizing nonequilibrium dynamics by causal networks, he has obtained a novel generalization of the second law of thermodynamics with information that is applicable to quite a broad class of stochastic dynamics such as information transfer between multiple Brownian particles, an autonomous biochemical reaction, and complex dynamics with a time-delayed feedback control. This study can produce further progress in the study of Maxwell???s demon for special cases. As an application to these results, information transmission and thermodynamic dissipation in biochemical signal transduction are discussed. The findings presented here can open up a novel biophysical approach to understanding information processing in living systems
ISBN,Price9789811016646
Keyword(s)1. Biological and Medical Physics, Biophysics 2. BIOLOGICAL PHYSICS 3. BIOPHYSICS 4. COMPLEX SYSTEMS 5. DYNAMICAL SYSTEMS 6. EBOOK 7. EBOOK - SPRINGER 8. Numerical and Computational Physics, Simulation 9. PHYSICS 10. QUANTUM COMPUTERS 11. Quantum Information Technology, Spintronics 12. SPINTRONICS 13. STATISTICAL PHYSICS 14. Statistical Physics and Dynamical Systems 15. THERMODYNAMICS
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17.     
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TitleStochastic Dynamics and Energetics of Biomolecular Systems
Author(s)Ryabov, Artem
PublicationCham, Springer International Publishing, 2016.
DescriptionXV, 118 p. 10 illus : online resource
Abstract NoteThis thesis both broadens and deepens our understanding of the Brownian world. It addresses new problems in diffusion theory that have recently attracted considerable attention, both from the side of nanotechnology and from the viewpoint of pure academic research. The author focusses on the difussion of interacting particles in restricted geometries and under externally controlled forces. These geometries serve, for example, to model ion transport through narrow channels in cell membranes or a Brownian particle diffusing in an optical trap, now a paradigm for both theory and experiment. The work is exceptional in obtaining explicit analytically formulated answers to such realistic, experimentally relevant questions. At the same time, with its detailed exposition of the problems and a complete set of references, it presents a clear and broadly accessible introduction to the domain. Many of the problem settings and the corresponding exact asymptotic laws are completely new in diffusion theory
ISBN,Price9783319271880
Keyword(s)1. Amorphous substances 2. Complex fluids 3. COMPLEX SYSTEMS 4. DYNAMICAL SYSTEMS 5. EBOOK 6. EBOOK - SPRINGER 7. MATHEMATICAL PHYSICS 8. Nanoscale science 9. Nanoscale Science and Technology 10. NANOSCIENCE 11. Nanostructures 12. PHYSICAL CHEMISTRY 13. Soft and Granular Matter, Complex Fluids and Microfluidics 14. STATISTICAL PHYSICS 15. Statistical Physics and Dynamical Systems 16. Theoretical, Mathematical and Computational Physics
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18.     
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TitleChaos: Concepts, Control and Constructive Use
Author(s)Bolotin, Yurii;Tur, Anatoli;Yanovsky, Vladimir
PublicationCham, Springer International Publishing, 2017.
DescriptionXI, 281 p. 119 illus : online resource
Abstract NoteThis book offers a short and concise introduction to the many facets of chaos theory. While the study of chaotic behavior in nonlinear, dynamical systems is a well-established research field with ramifications in all areas of science, there is a lot to be learnt about how chaos can be controlled and, under appropriate conditions, can actually be constructive in the sense of becoming a control parameter for the system under investigation, stochastic resonance being a prime example. The present work stresses the latter aspects and, after recalling the paradigm changes introduced by the concept of chaos, leads the reader skillfully through the basics of chaos control by detailing the relevant algorithms for both Hamiltonian and dissipative systems, among others. The main part of the book is then devoted to the issue of synchronization in chaotic systems, an introduction to stochastic resonance, and a survey of ratchet models. In this second, revised and enlarged edition, two more chapters explore the many interfaces of quantum physics and dynamical systems, examining in turn statistical properties of energy spectra, quantum ratchets, and dynamical tunneling, among others. This text is particularly suitable for non-specialist scientists, engineers, and applied mathematical scientists from related areas, wishing to enter the field quickly and efficiently. From the reviews of the first edition: This book is an excellent introduction to the key concepts and control of chaos in (random) dynamical systems [...] The authors find an outstanding balance between main physical ideas and mathematical terminology to reach their audience in an impressive and lucid manner. This book is ideal for anybody who would like to grasp quickly the main issues related to chaos in discrete and continuous time. Henri Schurz, Zentralblatt MATH, Vol. 1178, 2010
ISBN,Price9783319424965
Keyword(s)1. COMPLEX SYSTEMS 2. COMPLEXITY 3. COMPUTATIONAL COMPLEXITY 4. DYNAMICAL SYSTEMS 5. DYNAMICS 6. EBOOK 7. EBOOK - SPRINGER 8. Mathematical Methods in Physics 9. PHYSICS 10. STATISTICAL PHYSICS 11. Statistical Physics and Dynamical Systems 12. SYSTEM THEORY 13. Systems Theory, Control 14. VIBRATION 15. Vibration, Dynamical Systems, Control
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19.     
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TitleHow Can Physics Underlie the Mind? : Top-Down Causation in the Human Context
Author(s)Ellis, George
PublicationBerlin, Heidelberg, Springer Berlin Heidelberg, 2016.
DescriptionXXVI, 482 p. 36 illus : online resource
Abstract NotePhysics underlies all complexity, including our own existence: how is this possible? How can our own lives emerge from interactions of electrons, protons, and neutrons? This book considers the interaction of physical and non-physical causation in complex systems such as living beings, and in particular in the human brain, relating this to the emergence of higher levels of complexity with real causal powers. In particular it explores the idea of top-down causation, which is the key effect allowing the emergence of true complexity and also enables the causal efficacy of non-physical entities, including the value of money, social conventions, and ethical choices
ISBN,Price9783662498095
Keyword(s)1. COMPLEX SYSTEMS 2. DYNAMICAL SYSTEMS 3. EBOOK 4. EBOOK - SPRINGER 5. EPISTEMOLOGY 6. Evolutionary Biology 7. NEUROBIOLOGY 8. Neurosciences 9. STATISTICAL PHYSICS 10. Statistical Physics and Dynamical Systems
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20.    
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TitleStatistical Physics of Wave Interactions : A Unified Approach to Mode-Locking and Random Lasers
Author(s)Antenucci, Fabrizio
PublicationCham, Springer International Publishing, 2016.
DescriptionXIV, 146 p. 44 illus., 24 illus. in color : online resource
Abstract NoteThis thesis reveals the utility of pursuing a statistical physics approach in the description of wave interactions in multimode optical systems. To that end, the appropriate Hamiltonian models are derived and their limits of applicability are discussed. The versatility of the framework allows the characterization of ordered and disordered lasers in open and closed cavities in a unified scheme, from standard mode-locking to random lasers. With the use of replica method and Monte Carlo simulations, the models are categorized on the basis of universal properties, and nontrivial predictions of experimental relevance are obtained. In particular, the approach makes it possible to nonperturbatively treat the interplay between disorder and nonlinearity and to envisage novel and fascinating physical phenomena such as glassy random lasers, providing a novel way to experimentally investigate replica symmetry breaking.
ISBN,Price9783319412252
Keyword(s)1. COMPLEX SYSTEMS 2. DYNAMICAL SYSTEMS 3. EBOOK 4. EBOOK - SPRINGER 5. LASERS 6. Optics, Lasers, Photonics, Optical Devices 7. PHOTONICS 8. QUANTUM OPTICS 9. STATISTICAL PHYSICS 10. Statistical Physics and Dynamical Systems
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