A Guide to Monte-Carlo Simulations in Statistical Physics (Third Edition)

摘要

This is a graduate level text that deals primarily with Monte-Carlo simulation of complex physical systems encountered in condensed-matter physics and statistical mechanics. It also provides a very brief overview of some alter-native computer simulation methods of use in statistical physics, such as molecular dynamics, quasi-classical spin dynamics, dissipative particle dynamics, lattice gas cellular automata and others. The emphasis however, is firmly on various Monte-Carlo simulation approaches to lattice based systems, especially Ising spin type models,and off-lattice systems, exemplified by binary fluids and polymer mixtures.