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Statistical Mechanics: Theory and Molecular Simulation: Second Edition
Statistical Mechanics: Theory and Molecular Simulation: Second Edition
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- More about Statistical Mechanics: Theory and Molecular Simulation: Second Edition
Statistical mechanics is a crucial tool for interdisciplinary research, allowing complex systems to be studied in detail. This book synthesizes the theory with computational techniques to solve real-world problems, covering classical and quantum mechanics, equilibrium ensembles, molecular dynamics, Monte Carlo, free energy calculations, machine learning, and applications.
Format: Hardback
Length: 880 pages
Publication date: 01 August 2023
Publisher: Oxford University Press
Scientists are delving into research endeavors that transcend the traditional boundaries of physics, chemistry, biology, materials science, and engineering. Due to its expansive nature, statistical mechanics emerges as a crucial tool for students and seasoned researchers aspiring to engage in interdisciplinary research. Powerful computational methodologies rooted in statistical mechanics enable the in-depth exploration of complex systems, offering unprecedented insights. This comprehensive book combines the fundamental theory of statistical mechanics with the computational techniques and algorithms employed to address real-world problems. It serves as a solid foundation for readers, encompassing topics that align with the contemporary landscape of statistical mechanics. The book encompasses detailed reviews of classical and quantum mechanics, comprehensive discussions of equilibrium ensembles, the utilization of molecular dynamics and Monte Carlo methods to sample classical and quantum ensemble distributions, Feynman path integrals, classical and quantum linear-response theory, nonequilibrium molecular dynamics, the Langevin and generalized Langevin equations, critical phenomena, techniques for free energy calculations, machine learning models, and their applications in statistical mechanics. The book is meticulously organized to present theoretical underpinnings alongside computational methods for practical implementation of the theoretical concepts.
Weight: 1804g
Dimension: 178 x 253 x 49 (mm)
ISBN-13: 9780198825562
Edition number: 2 Revised edition
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