The main focus of Dr. James Sethna's Stat Mech book is on the applications of computational statistical mechanics.
The book is intended for scientists, researchers, and graduate students with a background in physics or chemistry who are interested in applying computational methods to statistical mechanics.
The book covers topics such as Monte Carlo simulations, molecular dynamics, and other computational techniques used in statistical mechanics. It also includes applications to phase transitions, spin models, and other complex systems.
Readers are expected to have a strong understanding of statistical mechanics and basic programming skills. Some knowledge of thermodynamics and quantum mechanics may also be helpful.
This book provides a comprehensive and up-to-date overview of computational statistical mechanics, with a focus on practical applications. It also includes numerous examples and exercises to help readers apply the concepts and techniques to their own research.