**Statistical Mechanics of Nonequilibrium Liquids**

by Denis J. Evans, Gary P. Morriss

**Publisher**: ANU E Press 2007**ISBN/ASIN**: 0521857910**ISBN-13**: 9780521857918**Number of pages**: 318

**Description**:

Designed for both researchers in the field and graduate students of physics, this book charts the development and theoretical analysis of molecular dynamics as applied to equilibrium and non-equilibrium systems. It connects molecular dynamics simulation with the mathematical theory to understand non-equilibrium steady states.

Download or read it online for free here:

**Download link**

(15MB, PDF)

## Similar books

**Relativistic Kinetic Theory: An Introduction**

by

**Olivier Sarbach, Thomas Zannias**-

**arXiv**

A brief introduction to the relativistic kinetic theory of gases with emphasis on the underlying geometric and Hamiltonian structure of the theory. We start with a discussion on the tangent bundle of a Lorentzian manifold of arbitrary dimension...

(

**4242**views)

**Thermodynamics and Statistical Mechanics of Small Systems**

by

**A. Puglisi, A. Sarracino, A. Vulpiani (eds)**-

**MDPI AG**

Applications of the thermodynamic and statistical mechanics of small systems range from molecular biology to micro-mechanics, including models of nano-transport, Brownian motors, and (living or artificial) self-propelled organisms.

(

**1919**views)

**Modern Statistical Mechanics**

by

**Paul Fendley**-

**The University of Virginia**

This book is an attempt to cover the gap between what is taught in a conventional statistical mechanics class and between what is necessary to understand current research. The aim is to introduce the basics of many-body physics to a wide audience.

(

**3381**views)

**An Introduction to Monte Carlo Simulations in Statistical Physics**

by

**K. P. N. Murthy**-

**arXiv**

A brief introduction to the technique of Monte Carlo simulations in statistical physics. The topics covered include statistical ensembles random and pseudo random numbers, random sampling techniques, importance sampling, Markov chain, etc.

(

**8484**views)