A Guide to Monte Carlo Simulations in Statistical Physics

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.

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Dealing with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed matter physics and statistical mechanics, this book provides an introduction to computer simulations in physics. The 5th edition contains extensive new material describing numerous powerful algorithms and methods that represent recent developments in the field. New topics such as active matter and machine learning are also introduced. Throughout, there are many applications, examples, recipes, case studies, and exercises to help the reader fully comprehend the material. This book is ideal for graduate students and researchers, both in academia and industry, who want to learn techniques that have become a third tool of physical science, complementing experiment and analytical theory.