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Author | Title | Accn# | Year | Item Type | Claims |
| 11 |
Lazar, Marian |
Kappa Distributions |
I11921 |
2021 |
eBook |
|
| 12 |
Campisi, Michele |
Lectures on the Mechanical Foundations of Thermodynamics |
I11885 |
2021 |
eBook |
|
| 13 |
Wipf, Andreas |
Statistical Approach to Quantum Field Theory |
I11872 |
2021 |
eBook |
|
| 14 |
Large, Steven J |
Dissipation and Control in Microscopic Nonequilibrium Systems |
I11871 |
2021 |
eBook |
|
| 15 |
Baus, Marc |
Equilibrium Statistical Physics |
I11820 |
2021 |
eBook |
|
| 16 |
Kenkre, V. M. (Nitant) |
Memory Functions, Projection Operators, and the Defect Technique |
I11741 |
2021 |
eBook |
|
| 17 |
Tanaka, Akinori |
Deep Learning and Physics |
I11729 |
2021 |
eBook |
|
| 18 |
Pismen, Len |
Active Matter Within and Around Us |
I11725 |
2021 |
eBook |
|
| 19 |
Nesteruk, Igor |
COVID-19 Pandemic Dynamics |
I11722 |
2021 |
eBook |
|
| 20 |
Serra, Roberto |
Modelling Protocells |
I10471 |
2017 |
eBook |
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11.
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| Title | Kappa Distributions : From Observational Evidences via Controversial Predictions to a Consistent Theory of Nonequilibrium Plasmas |
| Author(s) | Lazar, Marian;Fichtner, Horst |
| Publication | Cham, Springer International Publishing, 2021. |
| Description | VII, 330 p. 112 illus., 93 illus. in color : online resource |
| Abstract Note | This book presents recent results on the modelling of space plasmas with Kappa distributions and their interpretation. Hot and dilute space plasmas most often do not reach thermal equilibrium, their dynamics being essentially conditioned by the kinetic effects of plasma particles, i.e., electrons, protons, and heavier ions. Deviations from thermal equilibrium shown by these plasma particles are often described by Kappa distributions. Although well-known, these distributions are still controversial in achieving a statistical characterization and a physical interpretation of non-equilibrium plasmas. The results of the Kappa modelling presented here mark a significant progress with respect to all these aspects and open perspectives to understanding the high-resolution data collected by the new generation of telescopes and spacecraft missions. The book is directed to the large community of plasma astrophysics, including graduate students and specialists from associated disciplines, given the palette of the proposed topics reaching from applications to the solar atmosphere and the solar wind, via linear and quasilinear modelling of multi-species plasmas and waves within, to the fundamental physics of nonequilibrium plasmas |
| ISBN,Price | 9783030826239 |
| Keyword(s) | 1. Astrophysical Plasma
2. ASTROPHYSICS
3. EBOOK
4. EBOOK - SPRINGER
5. PLASMA ASTROPHYSICS
6. SOLAR SYSTEM
7. SPACE PHYSICS
8. STATISTICAL PHYSICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11921 |
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On Shelf |
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12.
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| Title | Lectures on the Mechanical Foundations of Thermodynamics |
| Author(s) | Campisi, Michele |
| Publication | Cham, Springer International Publishing, 2021. |
| Description | XV, 91 p. 17 illus., 14 illus. in color : online resource |
| Abstract Note | This brief provides a modern pedagogical exposition of the mechanical approach to statistical mechanics initiated by Boltzmann with his early works (1866-1871). Despite the later contribution by Helmholtz, Boltzmann himself (1884-1887), Gibbs, P. Hertz, and Einstein, the mechanical approach remained almost unknown to the modern reader, in favour of the celebrated combinatorial approach, developed by Boltzmann himself during his probabilistic turn (1876-1884). The brief constitutes an ideal continuation of a graduate course of classical mechanics and requires knowledge of basic calculus in many dimension (including differential forms), thermodynamics, probability theory, besides Hamiltonian mechanics. The cornerstone of the whole presentation is the ergodic hypothesis. Special attention is devoted to Massieu potentials (the Legendre transforms of the entropy) which are most natural in statistical mechanics, and also allow for a more direct treatment of the topic of ensemble equivalence |
| ISBN,Price | 9783030871635 |
| Keyword(s) | 1. EBOOK
2. EBOOK - SPRINGER
3. Mathematical Methods in Physics
4. MATHEMATICAL PHYSICS
5. STATISTICAL PHYSICS
6. THERMODYNAMICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11885 |
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On Shelf |
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13.
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| Title | Statistical Approach to Quantum Field Theory : An Introduction |
| Author(s) | Wipf, Andreas |
| Publication | Cham, Springer International Publishing, 2021. |
| Description | XXIV, 554 p. 133 illus., 47 illus. in color : online resource |
| Abstract Note | This new expanded second edition has been totally revised and corrected. The reader finds two complete new chapters. One covers the exact solution of the finite temperature Schwinger model with periodic boundary conditions. This simple model supports instanton solutions ??? similarly as QCD ??? and allows for a detailed discussion of topological sectors in gauge theories, the anomaly-induced breaking of chiral symmetry and the intriguing role of fermionic zero modes. The other new chapter is devoted to interacting fermions at finite fermion density and finite temperature. Such low-dimensional models are used to describe long-energy properties of Dirac-type materials in condensed matter physics. The large-N solutions of the Gross-Neveu, Nambu-Jona-Lasinio and Thirring models are presented in great detail, where N denotes the number of fermion flavors. Towards the end of the book corrections to the large-N solution and simulation results of a finite number of fermion flavors are presented. Further problems are added at the end of each chapter in order to guide the reader to a deeper understanding of the presented topics. This book is meant for advanced students and young researchers who want to acquire the necessary tools and experience to produce research results in the statistical approach to Quantum Field Theory |
| ISBN,Price | 9783030832636 |
| Keyword(s) | 1. EBOOK
2. EBOOK - SPRINGER
3. Elementary particles (Physics)
4. Elementary Particles, Quantum Field Theory
5. Mathematical Methods in Physics
6. MATHEMATICAL PHYSICS
7. QUANTUM FIELD THEORY
8. STATISTICAL PHYSICS
9. 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 |
| I11872 |
|
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On Shelf |
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14.
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| Title | Dissipation and Control in Microscopic Nonequilibrium Systems |
| Author(s) | Large, Steven J |
| Publication | Cham, Springer International Publishing, 2021. |
| Description | XVII, 236 p. 49 illus., 42 illus. in color : online resource |
| Abstract Note | This thesis establishes a multifaceted extension of the deterministic control framework that has been a workhorse of nonequilibrium statistical mechanics, to stochastic, discrete, and autonomous control mechanisms. This facilitates the application of ideas from stochastic thermodynamics to the understanding of molecular machines in nanotechnology and in living things. It also gives a scale on which to evaluate the nonequilibrium energetic efficiency of molecular machines, guidelines for designing effective synthetic machines, and a perspective on the engineering principles that govern efficient microscopic energy transduction far from equilibrium. The thesis also documents the author???s design, analysis, and interpretation of the first experimental demonstration of the utility of this generally applicable method for designing energetically-efficient control in biomolecules. Protocols designed using this framework systematically reduced dissipation, when compared to naive protocols, in DNA hairpins across a wide range of experimental unfolding speeds and between sequences with wildly different physical characteristics |
| ISBN,Price | 9783030858254 |
| Keyword(s) | 1. Bio- and Macromolecules
2. Biomolecules
3. BIOPHYSICS
4. EBOOK
5. EBOOK - SPRINGER
6. MOLECULAR BIOPHYSICS
7. MOLECULES
8. STATISTICAL PHYSICS
9. THERMODYNAMICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11871 |
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On Shelf |
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15.
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| Title | Equilibrium Statistical Physics : Phases, Phase Transitions, and Topological Phases |
| Author(s) | Baus, Marc;Tejero, Carlos F |
| Publication | Cham, Springer International Publishing, 2021. |
| Description | XVI, 437 p. 119 illus., 2 illus. in color : online resource |
| Abstract Note | This textbook gradually introduces students to the statistical mechanical study of the different phases of matter and to the phase transitions between them. It uses simple yet fully detailed models of both hard and soft matter systems to demonstrate core concepts, developing the subject matter in a thorough and accessible pedagogical manner throughout. Starting from an introduction to basic thermodynamics and statistical physics, the book progresses from ideal, non-interacting systems to real systems exhibiting classical interactions and phase transitions. It concludes with a selection of more advanced topics, such as the renormalisation group approach to critical phenomena, the density functional theory of interfaces, and kinematic aspects of the phase transformation process. This updated second edition features a considerably expanded study of the topology of the phases, including applications to modern problems such as topological defects of nematic liquid crystals and the topological phase transition of a two-dimensional spin system. Along with a complete introductory overview of the theory of phase transitions, this textbook provides students with ample material for deeper study. References include suggestions for more detailed treatments and six appendices supply overviews of the mathematical tools employed in the text |
| ISBN,Price | 9783030754327 |
| Keyword(s) | 1. COMPLEX SYSTEMS
2. CONDENSED MATTER
3. EBOOK
4. EBOOK - SPRINGER
5. LIQUID CRYSTALS
6. Nanophysics
7. NANOSCIENCE
8. Phase Transition and Critical Phenomena
9. STATISTICAL PHYSICS
10. SYSTEM THEORY
11. Topological insulators
12. Topological Material
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11820 |
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On Shelf |
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16.
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| Title | Memory Functions, Projection Operators, and the Defect Technique : Some Tools of the Trade for the Condensed Matter Physicist |
| Author(s) | Kenkre, V. M. (Nitant) |
| Publication | Cham, Springer International Publishing, 2021. |
| Description | XXII, 374 p. 83 illus., 2 illus. in color : online resource |
| Abstract Note | This book provides a graduate-level introduction to three powerful and closely related techniques in condensed matter physics: memory functions, projection operators, and the defect technique. Memory functions appear in the formalism of the generalized master equations that express the time evolution of probabilities via equations non-local in time, projection operators allow the extraction of parts of quantities, such as the diagonal parts of density matrices in statistical mechanics, and the defect technique allows solution of transport equations in which the translational invariance is broken in small regions, such as when crystals are doped with impurities. These three methods combined form an immensely useful toolkit for investigations in such disparate areas of physics as excitation in molecular crystals, sensitized luminescence, charge transport, non-equilibrium statistical physics, vibrational relaxation, granular materials, NMR, and even theoretical ecology. This book explains the three techniques and their interrelated nature, along with plenty of illustrative examples. Graduate students beginning to embark on a research project in condensed matter physics will find this book to be a most fruitful source of theoretical training. |
| ISBN,Price | 9783030686673 |
| Keyword(s) | 1. Chemistry, Physical and theoretical
2. CONDENSED MATTER
3. CONDENSED MATTER PHYSICS
4. EBOOK
5. EBOOK - SPRINGER
6. Mathematical Methods in Physics
7. MATHEMATICAL PHYSICS
8. OPERATOR THEORY
9. STATISTICAL PHYSICS
10. THEORETICAL CHEMISTRY
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11741 |
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On Shelf |
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17.
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| Title | Deep Learning and Physics |
| Author(s) | Tanaka, Akinori;Tomiya, Akio;Hashimoto, Koji |
| Publication | Singapore, Springer Nature Singapore, 2021. |
| Description | XIII, 207 p. 46 illus., 29 illus. in color : online resource |
| Abstract Note | What 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,Price | 9789813361089 |
| 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
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11729 |
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On Shelf |
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18.
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| Title | Active Matter Within and Around Us : From Self-Propelled Particles to Flocks and Living Forms |
| Author(s) | Pismen, Len |
| Publication | Cham, Springer International Publishing, 2021. |
| Description | XIII, 227 p. 236 illus., 216 illus. in color : online resource |
| Abstract Note | This book presents a comprehensive review of various aspects of the novel and rapidly developing field of active matter, which encompasses a wide variety of self-organized self-driven energy-consuming media or agents. Most naturally occurring examples are of biological origin, spanning all scales from intracellular structures to swimming and crawling cells and microorganisms, to living tissues, bacterial colonies and flocks of birds. But the field also encompasses artificial systems, from colloids to soft robots. Intrinsically out of equilibrium and free of constraints of time-reversal symmetry, such systems display a range of surprising and unusual behaviors. In this book, the author emphasizes connections between fluid-mechanical, material, biological and technological aspects of active matter. He employs a minimum of mathematical tools, ensuring that the presentation is accessible to a wider scientific community. Richly illustrated, it gives the reader a clear picture of this fascinating field, its diverse phenomena and its open questions |
| ISBN,Price | 9783030684211 |
| Keyword(s) | 1. ANIMAL CULTURE
2. Animal Science
3. CELL BIOLOGY
4. CHEMISTRY
5. COMPLEX SYSTEMS
6. CONDENSED MATTER
7. CONDENSED MATTER PHYSICS
8. Cytology
9. EBOOK
10. EBOOK - SPRINGER
11. STATISTICAL PHYSICS
12. SYSTEM THEORY
13. Tissues
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11725 |
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On Shelf |
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19.
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| Title | COVID-19 Pandemic Dynamics : Mathematical Simulations |
| Author(s) | Nesteruk, Igor |
| Publication | Singapore, Springer Nature Singapore, 2021. |
| Description | XII, 172 p. 77 illus., 46 illus. in color : online resource |
| Abstract Note | This book highlights the estimate of epidemic characteristics for different countries/regions in the world with the use of known SIR (susceptible-infected-removed) model for the dynamics of the epidemic, the known exact solution of the linear differential equations and statistical approach developed before. The COVID-19 pandemic is of great interest to researchers due to its high mortality and a negative impact to the world economy. Correct simulation of the pandemic dynamics needs complicated mathematical models and many efforts for unknown parameters identification. The simple method of detection of the new pandemic wave is proposed and SIR model generalized. The hidden periods, epidemic durations, final numbers of cases, the effective reproduction numbers and probabilities of meeting an infected person are presented for countries like USA, Germany, UK, the Republic of Korea, Italy, Spain, France, the Republic of Moldova, Ukraine, and for the world. The presented information is useful to regulate the quarantine activities and to predict the medical and economic consequences of different/future pandemics. |
| ISBN,Price | 9789813364165 |
| Keyword(s) | 1. EBOOK
2. EBOOK - SPRINGER
3. Health promotion
4. Health Promotion and Disease Prevention
5. MATHEMATICAL STATISTICS
6. Medicine, Preventive
7. Public health
8. STATISTICAL PHYSICS
|
| Item Type | eBook |
Multi-Media Links
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| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11722 |
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On Shelf |
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20.
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| Title | Modelling Protocells : The Emergent Synchronization of Reproduction and Molecular Replication |
| Author(s) | Serra, Roberto;Villani, Marco |
| Publication | Dordrecht, Springer Netherlands, 2017. |
| Description | XV, 182 p. 46 illus., 33 illus. in color : online resource |
| Abstract Note | The monograph discusses models of synthetic protocells, which are cell-like structures obtained from non-living matter endowed with some rudimentary kind of metabolism and genetics, but much simpler than biological cells. They should grow and proliferate, generating offsprings that resemble in some way the parent protocells with some variation, so that selection may take place. Sustainable protocell populations have not yet been obtained experimentally and mathematical models are therefore extremely important to address key questions concerning their synthesis and behavior. Different protocell ???architectures??? have been proposed and high-level abstract models like those that are presented in this book are particularly relevant to gain a better understanding of the different properites. These models are able to treat all the major dynamical phenomena in a unified framework, so they can be seen as ???virtual laboratories??? for protocell research. Particular attention is paid to the problem of synchronization of the fission rate of the whole protocell and the duplication rate of its "protogenetic" material, which is shown to be an emergent property that spontaneously develops in successive generations. The book is of interest for a broad range of scientists working in soft matter physics, chemistry and biology, interested in the role protocells may play on the development of new technologies with medical, environmental and industrial applications as well as scientists interested in the origin of life |
| ISBN,Price | 9789402411607 |
| Keyword(s) | 1. Biological and Medical Physics, Biophysics
2. BIOLOGICAL PHYSICS
3. BIOPHYSICS
4. Biotechnology
5. COMPLEX SYSTEMS
6. DYNAMICAL SYSTEMS
7. EBOOK
8. EBOOK - SPRINGER
9. Evolutionary Biology
10. STATISTICAL PHYSICS
11. Statistical Physics and Dynamical Systems
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I10471 |
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On Shelf |
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