Statistical Mechanics: Theory and Molecular Simulation

— —

Mark E. Tuckerman (Professor of Chemistry and Mathematics and Chemistry Department Chair, Professor of Chemistry and Mathematics and Chemistry Department Chair, New York University)

Statistical Mechanics

Theory and Molecular Simulation

Mark E. Tuckerman (Professor of Chemistry and Mathematics and Chemistry Department Chair, Professor of Chemistry and Mathematics and Chemistry Department Chair, New York University)

$144.95

Hardback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Oxford University Press
13 July 2023

Condensed matter physics (liquid state & solid state physics); Statistical physics; Quantum & theoretical chemistry

Series: Oxford Graduate Texts

Scientists 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.

By: Mark E. Tuckerman (Professor of Chemistry and Mathematics and Chemistry Department Chair Professor of Chemistry and Mathematics and Chemistry Department Chair New York University)
Imprint: Oxford University Press
Country of Publication: United Kingdom
Edition: 2nd Revised edition
Dimensions: Height: 252mm, Width: 175mm, Spine: 49mm
Weight: 2g
ISBN: 9780198825562
ISBN 10: 0198825560
Series: Oxford Graduate Texts
Pages: 880
Publication Date: 13 July 2023
Audience: College/higher education , Primary
Format: Hardback
Publisher's Status: Active

1: Classical mechanics 2: Theoretical foundations of classical statistical mechanics 3: The microcanonical ensemble and introduction to molecular dynamics 4: The canonical ensemble 5: The isobaric ensembles 6: The grand canonical ensemble 7: Monte Carlo 8: Free-energy calculations 9: Quantum mechanics 10: Quantum ensembles and the density matrix 11: The quantum ideal gases: Fermi-Dirac and Bose-Einstein statistics 12: The Feynman path integral 13: Classical time-dependent statistical mechanics 14: Quantum time-dependent statistical mechanics 15: The Langevin and generalized Langevin equations 16: Discrete models and critical phenomena 17: Introduction to machine learning in statistical mechanics Free

Mark E. Tuckerman obtained his B.S. in Physics from UC Berkeley in 1986 and his Ph.D. in Physics from Columbia University in 1993. From 1993-1994, he held a postdoctoral position at the IBM Research Laboratory in Zürich, Switzerland, followed by an NSF postdoctoral fellowship in Advanced Scientific Computing at the University of Pennsylvania from 1995-1996. In 1997 he joined the faculty of New York University, where he is currently Professor of Chemistry and Mathematics. Honors and awards include the Friedrich Wilhelm Bessel Research Award from the Alexander von Humboldt Foundation and the Camille Dreyfus Teacher-Scholar Award. He became a Fellow of the AAAS in 2022.

Reviews for Statistical Mechanics: Theory and Molecular Simulation

Review from previous edition A good contribution to scholarship in this area. * Paul Madden, University of Oxford * Addresses an important area in a nicely coherent and systematic way. * Marshall Stoneham, University College London * A welcome addition to the literature. * Daan Frenkel, University of Cambridge *