Statistical Mechanics: Theory and Molecular Simulation (Oxford Graduate Texts)

This comprehensive guidebook, "Statistical Mechanics: A Comprehensive Introduction," provides an in-depth understanding of the underlying theory and practical applications of statistical mechanics, making it an essential tool for students and experienced researchers alike.

With a focus on computational methods and algorithms, this book covers a wide range of topics, including classical and quantum mechanics, equilibrium ensembles, molecular dynamics, Monte Carlo simulations, Feynman path integrals, linear-response theory, nonequilibrium dynamics, free energy calculations, machine learning models, and more.

The book's unique structure allows readers to gain a solid foundation in theoretical concepts alongside practical implementation methods, making it an indispensable resource for anyone looking to tackle complex research problems at the intersection of physics, chemistry, biology, materials science, and engineering.