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Author  Title  Accn#  Year  Item Type  Claims 
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 
Nonequilibrium Statistical Physics with Application to Disordered Systems 
I10110 
2017 
eBook 

15 
Nemoto, Takahiro 
Phenomenological Structure for the Large Deviation Principle in TimeSeries 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 


11.


Title  Kinetic Theory of Nonequilibrium Ensembles, Irreversible Thermodynamics, and Generalized Hydrodynamics : Volume 1. Nonrelativistic Theories 
Author(s)  Eu, Byung Chan 
Publication  Cham, Springer International Publishing, 2016. 
Description  XIV, 603 p. 15 illus., 4 illus. in color : online resource 
Abstract Note  This 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 soformulated theories therefore also strictly obey the tenet 
ISBN,Price  9783319411477 
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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I10217 


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12.


Title  Supermathematics and its Applications in Statistical Physics : Grassmann Variables and the Method of Supersymmetry 
Author(s)  Wegner, Franz 
Publication  Berlin, Heidelberg, Springer Berlin Heidelberg, 2016. 
Description  XVII, 374 p. 15 illus., 12 illus. in color : online resource 
Abstract Note  This 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 sigmamodel, 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, twodimensional disordered models, and superbosonization is given 
ISBN,Price  9783662491706 
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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Call#  Status  Issued To  Return Due On  Physical Location 
I10181 


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13.


Title  The Lattice Boltzmann Method : Principles and Practice 
Author(s)  Kr??ger, Timm;Kusumaatmaja, Halim;Kuzmin, Alexandr;Shardt, Orest;Silva, Goncalo;Viggen, Erlend Magnus 
Publication  Cham, Springer International Publishing, 2017. 
Description  XXIV, 694 p. 126 illus : online resource 
Abstract Note  This 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 frontloaded 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 multicore 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,Price  9783319446493 
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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Call#  Status  Issued To  Return Due On  Physical Location 
I10145 


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14.


Title  Nonequilibrium Statistical Physics with Application to Disordered Systems 
Author(s)  C??ceres, Manuel Osvaldo 
Publication  Cham, Springer International Publishing, 2017. 
Description  XXIV, 556 p. 51 illus : online resource 
Abstract Note  This textbook is the result of the enhancement of several courses on nonequilibrium 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 littleknown physical and mathematical concepts are described in sections and specific exercises throughout the text, as well as in appendices. Physicalmathematical 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 nonequilibrium statistical theory and stochastic differential equations.. In particular it discusses the problem of irreversibility in that context and the dynamics of FokkerPlanck. An introduction on fluctuations around metastable and unstable points are given. It also describes relaxation theory of nonstationary 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,Price  9783319515533 
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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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I10110 


On Shelf 




15.


Title  Phenomenological Structure for the Large Deviation Principle in TimeSeries Statistics : A method to control the rare events in nonequilibrium systems 
Author(s)  Nemoto, Takahiro 
Publication  Singapore, Springer Singapore, 2016. 
Description  XIII, 127 p. 35 illus., 7 illus. in color : online resource 
Abstract Note  This thesis describes a method to control rare events in nonequilibrium 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 timeseries statistics that can be used to describe nonequilibrium 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 nonequilibrium statistical mechanics 
ISBN,Price  9789812878113 
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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Call#  Status  Issued To  Return Due On  Physical Location 
I10088 


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16.


Title  Information Thermodynamics on Causal Networks and its Application to Biochemical Signal Transduction 
Author(s)  Ito, Sosuke 
Publication  Singapore, Springer Singapore, 2016. 
Description  XIII, 133 p. 32 illus., 28 illus. in color : online resource 
Abstract Note  In 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 timedelayed 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,Price  9789811016646 
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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Call#  Status  Issued To  Return Due On  Physical Location 
I10079 


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17.


Title  Stochastic Dynamics and Energetics of Biomolecular Systems 
Author(s)  Ryabov, Artem 
Publication  Cham, Springer International Publishing, 2016. 
Description  XV, 118 p. 10 illus : online resource 
Abstract Note  This 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,Price  9783319271880 
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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Call#  Status  Issued To  Return Due On  Physical Location 
I10078 


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18.


Title  Chaos: Concepts, Control and Constructive Use 
Author(s)  Bolotin, Yurii;Tur, Anatoli;Yanovsky, Vladimir 
Publication  Cham, Springer International Publishing, 2017. 
Description  XI, 281 p. 119 illus : online resource 
Abstract Note  This 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 wellestablished 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 nonspecialist 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,Price  9783319424965 
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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Call#  Status  Issued To  Return Due On  Physical Location 
I10077 


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19.


Title  How Can Physics Underlie the Mind? : TopDown Causation in the Human Context 
Author(s)  Ellis, George 
Publication  Berlin, Heidelberg, Springer Berlin Heidelberg, 2016. 
Description  XXVI, 482 p. 36 illus : online resource 
Abstract Note  Physics 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 nonphysical 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 topdown causation, which is the key effect allowing the emergence of true complexity and also enables the causal efficacy of nonphysical entities, including the value of money, social conventions, and ethical choices 
ISBN,Price  9783662498095 
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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Call#  Status  Issued To  Return Due On  Physical Location 
I10069 


On Shelf 




20.
 
Title  Statistical Physics of Wave Interactions : A Unified Approach to ModeLocking and Random Lasers 
Author(s)  Antenucci, Fabrizio 
Publication  Cham, Springer International Publishing, 2016. 
Description  XIV, 146 p. 44 illus., 24 illus. in color : online resource 
Abstract Note  This 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 modelocking 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,Price  9783319412252 
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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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I10055 


On Shelf 



 