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This text presents statistical mechanics and thermodynamics as a theoretically integrated field of study. It stresses deep coverage of fundamentals, providing a natural foundation for advanced topics. The large problem sets (with solutions for teachers) include many computational problems to advance student understanding.
Inhaltsverzeichnis
- 1: Introduction
- I
- Part 1 Entropy
- 2: Classical Ideal Gas
- 3: Discrete probability theory
- 4: Configurational entropy
- 5: Continuous random numbers
- 6: Classical ideal gas: Energy
- 7: Ideal and "real" gases
- 8: T, P, µ, and all that
- II
- Part 2 Thermodynamics
- 9: Postulates and Laws of thermodynamics
- 10: Thermodynamic perturbations
- 11: Thermodynamic processes
- 12: Thermodynamic potentials
- 13: Extensivity
- 14: Thermodynamic identities
- 15: Extremum principles
- 16: Stability conditions
- 17: Phase transitions
- 18: Nernst postulate
- III
- Part 3 Classical statistical mechanics
- 19: Classical ensembles
- 20: Classical ensembles: grand and otherwise
- 21: Irreversibility
- IV
- Part 4 Quantum statistical mechanics
- 22: Quantum ensembles
- 23: Quantum canoncial ensemble
- 24: Black-body radiation
- 25: The harmonic solid
- 26: Ideal quantum gases
- 27: Bose-Einstein statistics
- 28: Fermi-Dirac statistics
- 29: Insulators and semiconductors
- 30: The Ising model
Über den Autor / die Autorin
Robert H. Swendsen is Professor of Physics at Carnegie Mellon University, where he works primarily in computational statistical mechanics. Professor Swendsen is a Fellow of both the American Physical Society and the American Association for the Advancement of Science. He was given an IBM Outstanding Achievement Award in 1981 and shared a Forefronts of Large-Scale Computational Problems Award with S. Kumar, J.M. Rosenberg, and P.A. Kollman in 1991.
Zusammenfassung
This text presents statistical mechanics and thermodynamics as a theoretically integrated field of study. It stresses deep coverage of fundamentals, providing a natural foundation for advanced topics. The large problem sets (with solutions for teachers) include many computational problems to advance student understanding.
