Computational Statistical Mechanics

1st Edition

Authors: W.G. Hoover
Hardcover ISBN: 9780444881922
eBook ISBN: 9780444596598
Imprint: Elsevier Science
Published Date: 11th March 1991
Page Count: 330
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Table of Contents

  1. Mechanics. 2. Thermodynamics. 3. Principles of Statistical Mechanics. 4. Applications of Equilibrium Statistical Mechanics. 5. Principles of Equilibrium Molecular Dynamics. 6. Applications of Equilibrium Molecular Dynamics. 7. Principles of Hydrodynamics. 8. Applications of Hydrodynamics. 9. Kinetic Theory. 10. Introduction to Nonequilibrium Molecular Dynamics. 11. Applications of Nonequilibrium Molecular Dynamics. 12. Summary. 13. Useful Information.


Computational Statistical Mechanics describes the use of fast computers to simulate the equilibrium and nonequilibrium properties of gases, liquids, and solids at, and away from equilibrium. The underlying theory is developed from basic principles and illustrated by applying it to the simplest possible examples.

Thermodynamics, based on the ideal gas thermometer, is related to Gibb's statistical mechanics through the use of Nosé-Hoover heat reservoirs. These reservoirs use integral feedback to control temperature. The same approach is carried through to the simulation and analysis of nonequilibrium mass, momentum, and energy flows. Such a unified approach makes possible consistent mechanical definitions of temperature, stress, and heat flux which lead to a microscopic demonstration of the Second Law of Thermodynamics directly from mechanics. The intimate connection linking Lyapunov-unstable microscopic motions to macroscopic dissipative flows through multifractal phase-space structures is illustrated with many examples from the recent literature.

The book is well-suited for undergraduate courses in advanced thermodynamics, statistical mechanic and transport theory, and graduate courses in physics and chemistry.


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© Elsevier Science 1991
Elsevier Science
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About the Authors

W.G. Hoover Author

Affiliations and Expertise

Department of Applied Science, University of California, Davis, CA, USA