Statistical physics

"e;Both superb and essential.

The principal message of this book is that thermodynamics and statistical mechanics will benefit from replacing the unfortunate, misleading and mysterious term "e;entropy"e; with a more familiar, meaningful and appropriate term such as information, missing information or uncertainty.

This monograph examines the domain of classical political economy using the methodologies developed in recent years both by the new discipline of econo-physics and by computing science.

This work gives a complete overview on the subject of nonconservative stability from the modern point of view.

This book explains the tools and concepts needed for a research-level understanding of the subject, for graduate students in condensed matter physics.

Reviewing statistical mechanics concepts for analysis of macromolecular structure formation processes, for graduate students and researchers in physics and biology.

The statistical mechanical theory of liquids and solutions is a fundamental area of physical sciences with important implications in other fields of science and industrial applications.

In 1992, students of Bert Green and Angas Hurst conceived the idea of a meeting to commemorate their contributions to Mathematical Physics and to celebrate their passing the milestone of three score years and ten.

One of the questions about which humanity has often wondered is the arrow of time.

The book provides a unifying insight into fluctuation phenomena in a broad variety of vibrational systems of current interest.

This book provides an ideal introduction to the use of Feynman path integrals in the fields of quantum mechanics and statistical physics.

This book explains the tools and concepts needed for a research-level understanding of the subject, for graduate students in condensed matter physics.

Presenting and developing the theory of spin glasses for mathematical physicists and probabilists working in disordered systems.

While the significance of networks in various human behavior and activities has a history as long as human's existence, network awareness is a recent scientific phenomenon.

A comprehensive introduction to the methods of, and physics describable by, classical field theory.

This brief book introduces the Poisson-Boltzmann equation in three chapters that build upon one another, offering a systematic entry to advanced students and researchers.

This book formulates a unified approach to the description of many-particle systems combining the methods of statistical physics and quantum field theory.

This proceedings provides an updated glance on recent developments in statistical physics.

Brownian diffusion is the motion of one or more solute molecules in a sea of very many, much smaller solvent molecules.

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 provides an accessible yet thorough introduction to thermodynamics, crafted and class-tested over many years of teaching.

Authored by a well-known expert in the field of nonequilibrium statistical physics, this book is a coherent presentation of the subject suitable for masters and PhD students, as well as postdocs in physics and related disciplines.

This second edition of Physical Hydrodynamics is a deeply enriched version of a classical textbook on fluid dynamics.

The study of network theory is a highly interdisciplinary field, which has emerged as a major topic of interest in various disciplines ranging from physics and mathematics, to biology and sociology.

This collection of articles provides authoritative and up-to-date reviews on the Hubbard Model.

This work tries to provide an elementary introduction to the notions of continuum limit and universality in statistical systems with a large number of degrees of freedom.

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

This second edition of Dynamics, Information and Complexity in Quantum Systems widens its scope by focussing more on the dynamics of quantum correlations and information in microscopic and mesoscopic systems, and their use for metrological and machine learning purposes.

This book is a course in methods and models rooted in physics and used in modelling economic and social phenomena.

Conjugated polymers have important technological applications, including solar cells and light emitting devices.

This book addresses research challenges in the rapidly developing area of nonequilibrium thermodynamics and fluctuation kinetics.

This book addresses research challenges in the rapidly developing area of nonequilibrium thermodynamics and fluctuation kinetics.

This new edition describes the space of quantum states and the theory of quantum entanglement from a geometric perspective.

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

Nonlinear Time Series Analysis with R provides a practical guide to emerging empirical techniques allowing practitioners to diagnose whether highly fluctuating and random appearing data are most likely driven by random or deterministic dynamic forces.

This volume develops an effective theory approach to understanding deep neural networks of practical relevance.

This textbook offers an introduction to statistical mechanics, special relativity, and quantum physics, developed from lecture notes for the "e;Quantum Physics"e; course at the University of Padua.

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.

Within a unifying framework, Diffusion: Formalism and Applications covers both classical and quantum domains, along with numerous applications.

In this book we have solved the complicated problem of constructing upper bounds for many-time averages for the case of a fairly broad class of model systems with four-fermion interaction.

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

This book highlights the importance of Electron Statistics (ES), which occupies a singular position in the arena of solid state sciences, in heavily doped (HD) nanostructures by applying Heisenberg's Uncertainty Principle directly without using the complicated Density-of-States function approach as given in the literature.

Recent experimental evidence about the possibility of "e;absolute negative temperature"e; states in physical systems has triggered a stimulating debate about the consistency of such a concept from the point of view of Statistical Mechanics.

This book reports on the latest developments in the field of Superfluidity.

An advanced undergraduate and graduate textbook introducing differential geometry for theoretical physics and applied mathematics.