Skip to content

Booksellers & Trade Customers: Sign up for online bulk buying at trade.atlanticbooks.com for wholesale discounts

Booksellers: Create Account on our B2B Portal for wholesale discounts

Statistical Mechanics: Theory and Molecular Simulation

by Mark E. Tuckerman
Save 3% Save 3%
Current price ₹8,454.00
Original price ₹8,729.00
Original price ₹8,729.00
Original price ₹8,729.00
(-3%)
₹8,454.00
Current price ₹8,454.00

Imported Edition - Ships in 12-14 Days

Free Shipping in India on orders above Rs. 500

Request Bulk Quantity Quote
+91
Book cover type: Hardcover
  • ISBN13: 9780198825562
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: Oxford University Press
  • Publisher Imprint: Oxford University Press
  • Publication Date:
  • Pages: 880
  • Original Price: GBP 69.0
  • Language: English
  • Edition: N/A
  • Item Weight: 1834 grams
  • BISAC Subject(s): Physics / Condensed Matter, Clinical Medicine, and Chemistry / Physical & Theoretical

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.

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

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.

Trusted for over 49 years

Family Owned Company

Secure Payment

All Major Credit Cards/Debit Cards/UPI & More Accepted

New & Authentic Products

India's Largest Distributor

Need Support?

Whatsapp Us