Equilibrium Statistical Physics: with Computer simulations in Python

This is a graduate textbook in Statistical Physics intended for students in Physics, Biophysics, Chemistry, Materials Science, and Engineering. It is based on using computer simulations in Python as a learning tool. Many exercises involve simulations, and a set of listings of computer programs are given in the appendix. Algorithms discussed include molecular dynamics, Metropolis Monte Carlo, Gibbs ensemble, and the Wolff algorithm.

Author: Leonard M. Sander
Publisher: Createspace Independent Publishing Platform
Published: 07/27/2013
Pages: 334
Binding Type: Paperback
Weight: 0.99lbs
Size: 9.02h x 5.98w x 0.70d
ISBN: 9781491066515

About the Author
Leonard M. Sander is Professor of Physics and Complex Systems at the University of Michigan, Ann Arbor. His research interests include pattern formation, non-equilibrium statistical physics, and biophysics.

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