Описание: Presents a powerful new framework for fluid dynamics away from equilibrium, providing an essential resource to researchers in nuclear physics, cosmology, astrophysics and quantum many-body systems. Contains a comprehensive theory overview, numerical algorithms as well as applications to neutron stars, the early universe and high energy collisions.
Автор: Gitterman Moshe Название: Phase Transitions: Modern Applications (2nd Edition) ISBN: 9814520608 ISBN-13(EAN): 9789814520607 Издательство: World Scientific Publishing Цена: 6336.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a comprehensive review of the theory of phase transitions and its modern applications, based on the five pillars of the modern theory of phase transitions: the Ising model, mean field, scaling, renormalization group and universality. This expanded second edition includes, along with a description of vortices and high temperature superconductivity, a discussion of phase transitions in chemical reactions and moving systems. The book covers the close connection between phase transitions and small world phenomena as well as scale-free systems such as the stock market and the Internet.
Автор: Wegner, Franz Название: Supermathematics and its applications in statistical physics ISBN: 3662491680 ISBN-13(EAN): 9783662491683 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Part I Grassmann Variables and Applications.- Part II Supermathematics.- Part III Supersymmetry in Statistical Physics.- Summary and Additional Remarks.- References.- Solutions.- Index.
Описание: Our original objective in writing this book was to demonstrate how the concept of the equation of motion of a Brownian particle — the Langevin equation or Newtonian-like evolution equation of the random phase space variables describing the motion — first formulated by Langevin in 1908 — so making him inter alia the founder of the subject of stochastic differential equations, may be extended to solve the nonlinear problems arising from the Brownian motion in a potential. Such problems appear under various guises in many diverse applications in physics, chemistry, biology, electrical engineering, etc. However, they have been invariably treated (following the original approach of Einstein and Smoluchowski) via the Fokker-Planck equation for the evolution of the probability density function in phase space. Thus the more simple direct dynamical approach of Langevin which we use and extend here, has been virtually ignored as far as the Brownian motion in a potential is concerned. In addition two other considerations have driven us to write this new edition of The Langevin Equation. First, more than five years have elapsed since the publication of the third edition and following many suggestions and comments of our colleagues and other interested readers, it became increasingly evident to us that the book should be revised in order to give a better presentation of the contents. In particular, several chapters appearing in the third edition have been rewritten so as to provide a more direct appeal to the particular community involved and at the same time to emphasize via a synergetic approach how seemingly unrelated physical problems all involving random noise may be described using virtually identical mathematical methods. Secondly, in that period many new and exciting developments have occurred in the application of the Langevin equation to Brownian motion. Consequently, in order to accommodate all these, a very large amount of new material has been added so as to present a comprehensive overview of the subject.
Автор: A. Baumg?rtner; K. Binder; K. Binder; J.-P. Hansen Название: Applications of the Monte Carlo Method in Statistical Physics ISBN: 3642967906 ISBN-13(EAN): 9783642967900 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Monte Carlo computer simulations are now a standard tool in scientific fields such as condensed-matter physics, including surface-physics and applied-physics problems (metallurgy, diffusion, and segregation, etc.
Автор: Kurt Binder; A. Baumg?rtner; K. Binder; J.-P. Hans Название: Applications of the Monte Carlo Method in Statistical Physics ISBN: 3540176500 ISBN-13(EAN): 9783540176503 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Deals with the computer simulation of complex physical sys- tems encounteredin condensed-matter physics and statistical mechanics as well as in related fields such as metallurgy, polymer research, lattice gauge theory and quantummechanics.
A completely revised edition that combines a comprehensive coverage of statistical and thermal physics with enhanced computational tools, accessibility, and active learning activities to meet the needs of today's students and educators
This revised and expanded edition of Statistical and Thermal Physics introduces students to the essential ideas and techniques used in many areas of contemporary physics. Ready-to-run programs help make the many abstract concepts concrete. The text requires only a background in introductory mechanics and some basic ideas of quantum theory, discussing material typically found in undergraduate texts as well as topics such as fluids, critical phenomena, and computational techniques, which serve as a natural bridge to graduate study.
Completely revised to be more accessible to students
Encourages active reading with guided problems tied to the text
Updated open source programs available in Java, Python, and JavaScript
Integrates Monte Carlo and molecular dynamics simulations and other numerical techniques
Self-contained introductions to thermodynamics and probability, including Bayes' theorem
A fuller discussion of magnetism and the Ising model than other undergraduate texts
Treats ideal classical and quantum gases within a uniform framework
Features a new chapter on transport coefficients and linear response theory
Описание: This book formulates a unified approach to the description of many-particle systems combining the methods of statistical physics and quantum field theory.
Автор: David Landau , Kurt Binder Название: A Guide to Monte Carlo Simulations in Statistical Physics ISBN: 110849014X ISBN-13(EAN): 9781108490146 Издательство: Cambridge Academ Рейтинг: Цена: 12038.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This introduction to computer simulation methods in physics emphasises Monte Carlo Methods, where random numbers are used to study complex systems. It is ideal for graduate students and researchers wishing to learn about simulation, which has become a third pillar of scientific methods, complementing theory and experiment.
Описание: What every neuroscientist should know about the mathematical modeling of excitable cells. Combining empirical physiology and nonlinear dynamics, this text provides an introduction to the simulation and modeling of dynamic phenomena in cell biology and neuroscience. It introduces mathematical modeling techniques alongside cellular electrophysiology. Topics include membrane transport and diffusion, the biophysics of excitable membranes, the gating of voltage and ligand-gated ion channels, intracellular calcium signalling, and electrical bursting in neurons and other excitable cell types. It introduces mathematical modeling techniques such as ordinary differential equations, phase plane, and bifurcation analysis of single-compartment neuron models. With analytical and computational problem sets, this book is suitable for life sciences majors, in biology to neuroscience, with one year of calculus, as well as graduate students looking for a primer on membrane excitability and calcium signalling.
Автор: Carlo Massobrio; Jincheng Du; Marco Bernasconi; Ph Название: Molecular Dynamics Simulations of Disordered Materials ISBN: 3319375156 ISBN-13(EAN): 9783319375151 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is a unique reference work in the area of atomic-scale simulation of glasses. The book covers a wide range of systems covering "traditional" network glasses, such as chalcogenides and oxides, as well as glasses for applications in the area of phase change materials.
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