000			02351nam a22002537a 4500
005			20250624110757.0
008			250624b |||||||| |||| 00| 0 eng d
020			_a9780198825562
040			_aCSL _cCSL
041			_2eng _aeng
084			_aCN2 R3 _qCSL
100			_aTuckerman, Mark E. _eauthor. _9814402
245			_aStatistical Mechanics _b: Theory and Molecular Simulation
250			_a2nd ed.
260			_aOxford : _bOxford university press, _c2023.
300			_axvii, 860p. _b: ill. _c; 25 cm.
500			_aIncludes appendix,references and index.
520			_aScientists are increasingly finding themselves engaged in research problems that cross the traditional disciplinary lines of physics, chemistry, biology, materials science, and engineering. Because of its broad scope, statistical mechanics is an essential tool for students and more experienced researchers planning to become active in such an interdisciplinary research environment. Powerful computational methods that are based in statistical mechanics allow complex systems to be studied at an unprecedented level of detail.This book synthesizes the underlying theory of statistical mechanics with the computational techniques and algorithms used to solve real-world problems and provides readers with a solid foundation in topics that reflect the modern landscape of statistical mechanics. Topics covered include detailed reviews of classical and quantum mechanics, in-depth discussions of the equilibrium ensembles and the use of molecular dynamics and Monte Carlo 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 the use of these models in statistical mechanics applications. The book is structured such that the theoretical underpinnings of each topic are covered side by side with computational methods used for practical implementation of the theoretical concepts.
650			_aStatistical mechanics.
650			_a Molecular dynamics _9814403
650			_aMonte Carlo method. _9814404
650			_a Quantum mechanics. _9814405
942			_2CC _cTEXL _e2nd ed. _hCN2 R3 _n0
999			_c1432862 _d1432862