Statistical physics

This book unifies and consolidates methods for analyzing multilayer networks arising from the social and physical sciences and computing.

What every neuroscientist should know about the mathematical modeling of excitable cells, presented at an introductory level.

This textbook provides everything you need to get through a basic physics course.

This book of problems and solutions in classical mechanics is dedicated to junior or senior undergraduate students in physics, engineering, applied mathematics, astronomy, or chemistry who may want to improve their problems solving skills, or to freshman graduate students who may be seeking a refresh of the material.

The self-avoiding walk is a classical model in statistical mechanics, probability theory and mathematical physics.

A fascinating investigation into the foundations of statistical inference This publication examines the distinct philosophical foundations of different statistical modes of parametric inference.

This book presents an innovative unified approach to the statistical foundations of entropy and the fundamentals of equilibrium statistical mechanics.

In July 2009, many experts in the mathematical modelling of biological sciences gathered in Les Houches for a 4-week summer school on the mechanics and physics of biological systems.

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.

A practical guide to understanding, using and producing downscaled climate data, for researchers, graduate students, policy makers and practitioners.

This self-contained volume introduces modern methods of statistical mechanics in turbulence, with three harmonised lecture courses by world class experts.

A Modern Course in Statistical Physics is a textbook that illustrates the foundations of equilibrium and non-equilibrium statistical physics, and the universal nature of thermodynamic processes, from the point of view of contemporary research problems.

Updated second edition with several new chapters, for graduates and researchers in condensed matter physics and particle and string theory.

This is the first comprehensive guide to the archaeological uses of network science.

Stochastic mechanics is a theory that holds great promise in resolving the mathematical and interpretational issues encountered in the canonical and path integral formulations of quantum theories.

This volume comprises about forty research papers and essays covering a wide range of subjects in the forefront of contemporary statistical physics.

Exploring a novel breakthrough in the identification and investigation of solvable and integrable nonlinearly coupled evolution ordinary differential equations (ODEs) or partial differential equations (PDEs).

This book provides a guide to the analysis of complex systems through the lens of data science.

This book presents the experimental development of an information-powered engine inspired by the famous thought experiment, Maxwell's demon, to understand its potential to produce energy for practical purposes.

The exciton mechanism of high-Tc superconductivity in copper oxides was initially proposed by Prof.

Over the last decade new experimental tools and theoretical concepts are providing new insights into collective nonequilibrium behavior of quantum systems.

In July 2009, many experts in the mathematical modelling of biological sciences gathered in Les Houches for a 4-week summer school on the mechanics and physics of biological systems.

This is one of the very few books focusing on relativistic statistical mechanics, and is written by a leading expert in this special field.

An engaging undergraduate introduction to the statistical mechanics of phase transitionsStatistical mechanics deploys a powerful set of mathematical approaches for studying the thermodynamic properties of complex physical systems.

Stochastic mechanics is a theory that holds great promise in resolving the mathematical and interpretational issues encountered in the canonical and path integral formulations of quantum theories.

This new edition of College Physics Essentials provides a streamlined update of a major textbook for algebra-based physics.

This book is a brief and accessible popular science text intended for a broad audience and of particular interest also to science students and specialists.

This book presents an introduction to the main concepts of statistical physics, followed by applications to specific problems and more advanced concepts, selected for their pedagogical or practical interest.

This book is the sixth volume of reviews on advanced problems of phase transitions and critical phenomena, with the first five volumes appearing in 2004, 2007, 2012, 2015, and 2018.

Complexity is emerging as a post-Newtonian paradigm for approaching a large body of phenomena of concern at the crossroads of physical, engineering, environmental, life and human sciences from a unifying point of view.

A group of distinguished scientists contributes to the foundations of a new discipline in Earth sciences: earthquake thermodynamics and thermodynamics of formation of the Earth's interior structures.

The account of thermodynamics and statistical mechanics in Thermodynamics and Statistical Mechanics is based on entropy and its maximization.

The proceedings discuss the theoretical methods used to describe a chemical system which is far from the equilibrium state, and this is illustrated by selected applications.

A small army of physicists, chemists, mathematicians, and engineers has joined forces to attack a classic problem, the "e;reversibility paradox"e;, with modern tools.

This book delves into the foundational principles governing the treatment of molecular networks and "e;chemical space"e;-the comprehensive domain encompassing all physically achievable molecules-from the perspectives of vector space, graph theory, and data science.

A modern introduction to statistics for undergraduates in physics, with worked examples and case studies to illustrate techniques presented.

A dynamical system is called isochronous if it features in its phase space an open, fully-dimensional region where all its solutions are periodic in all its degrees of freedom with the same, fixed period.

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.

This text presents a collection of mathematical exercises with the aim of guiding readers to study topics in statistical physics, equilibrium thermodynamics, information theory, and their various connections.

This volume is a collection of papers, mostly state-of-the-art reviews, describing main topics of current research in Applied Thermodynamics.

This book provides an accessible introduction to thermal physics with computational approaches that complement the traditional mathematical treatments of classical thermodynamics and statistical mechanics.