Cambridge University Press eBooks· 2021· Book chapter
A Guide to Monte Carlo Simulations in Statistical Physics
- 926citations
- 2021year
Short summary
The 5th edition of this book introduces Monte Carlo simulations for complex physical systems, incorporating new algorithms, methods, and topics like active matter and machine learning.
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Key points
- Covers Monte Carlo simulations for complex physical systems in condensed matter physics and statistical mechanics.
- Includes new material on powerful algorithms and methods representing recent developments.
- Introduces emerging topics like active matter and machine learning.
- Features applications, examples, recipes, case studies, and exercises for practical understanding.
AI-generated from the title and abstract; the full text is not read.
Abstract
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.
The authors' abstract, as published at the source. Cambridge University Press eBooks, 2021 · DOI ↗
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Field: Physical and Theoretical Chemistry
Physical and Theoretical ChemistryChemistry