Ulteriori informazioni
This book synthesizes the underlying theory of statistical mechanics with the computational techniques and algorithms used to solve real-world problems and provide readers with a solid foundation in topics that reflect the modern landscape of statistical mechanics.
Sommario
- 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
Info autore
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.
Riassunto
This book synthesizes the underlying theory of statistical mechanics with the computational techniques and algorithms used to solve real-world problems and provide readers with a solid foundation in topics that reflect the modern landscape of statistical mechanics.
Testo aggiuntivo
A welcome addition to the literature.
