A Guide to Monte Carlo Simulations in Statistical Physics

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David Landau (University of Georgia) Kurt Binder (Johannes Gutenberg Universität Mainz, Germany)

A Guide to Monte Carlo Simulations in Statistical Physics

David Landau (University of Georgia), Kurt Binder (Johannes Gutenberg Universität Mainz, Germany)

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English

Cambridge University Press
29 July 2021

Statistical physics

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.

By: David Landau (University of Georgia), Kurt Binder (Johannes Gutenberg Universität Mainz, Germany)
Imprint: Cambridge University Press
Country of Publication: United Kingdom
Edition: 5th Revised edition
Dimensions: Height: 251mm, Width: 175mm, Spine: 32mm
Weight: 1.240kg
ISBN: 9781108490146
ISBN 10: 110849014X
Pages: 578
Publication Date: 29 July 2021
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

1. Introduction; 2. Some Necessary Background; 3. Simple Sampling Monte Carlo Methods; 4. Importance Sampling Monte Carlo Methods; 5. More on Importance Sampling Monte Carlo Methods for Lattice Systems; 6. Off-Lattice Models; 7. Reweighting Methods; 8. Quantum Monte Carlo Methods; 9. Monte Carlo Renormalization Group Methods; 10. Non-Equilibrium and Irreversible Processes; 11. Lattice Gauge Models: A Brief Introduction; 12. A Brief Review of Other Methods of Computer Simulation; 13. Monte Carlo Simulations at the Periphery of Physics and Beyond; 14. Monte Carlo Studies of Biological Molecules; 15. Emerging Trends; Index.

David P. Landau is the Distinguished Research Professor of Physics and founding Director of the Center for Simulational Physics at the University of Georgia, USA. Kurt Binder is Professor Emeritus of Theoretical Physics and Gutenberg Fellow at the Institut für Physik, Johannes Gutenberg Universität, Mainz, Germany.

Reviews for A Guide to Monte Carlo Simulations in Statistical Physics

'… a comprehensive guide through the multifaceted world of Monte Carlo methods in physics and related branches of science. This work can be recommended to students starting their way in statistical physics simulations as well as to established researchers who needed a fast reference to some particular issues because it comprises a sequential line of explanations with a well-organized compendium of methods and recipes supplied with lists of original papers.' Eugene Postnikov, zbMATH