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Statistical Mechanics: Fundamentals and Modern Applications

ISBN: 978-0-471-16165-3
416 pages
November 1997
Statistical Mechanics: Fundamentals and Modern Applications (0471161659) cover image

Description

Statistical Mechanics reflects the latest techniques and developments in statistical mechanics. Covering a variety of concepts and topics - molecular dynamic methods, renormalization theory, chaos, polymer chain folding, oscillating chemical reactions, and cellular automata. 15 computer programs written in FORTRAN are provided to illustrate the concepts as well as more than 100 chapter-end exercises.
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Table of Contents

ESSENTIALS.

Classical Statistical Mechanics.

Quantum Statistical Mechanics.

EQUILIBRIUM STATISTICAL MECHANICS.

Phase Transitions and Critical Phenomena.

The Liquid State.

Molecular Dynamics Methods.

Monte Carlo Methods.

Polymers, Proteins, and Spin Glass Models.

NONEQUILIBRIUM STATISTICAL MECHANICS.

The Boltzmann Equation.

Approaches to Brownian Motion.

Zwanzig-Mori Formalism.

Activated Barrier-Crossing Problem.

Oscillating Chemical Reactions and Chaos.

Introduction to Cellular Automation Models.

Appendices.

Bibliography.

Indexes.
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Author Information

RICHARD E. WILDE, PhD, is a professor emeritus of chemistry at Texas Tech University. He is a member of the American Chemical Society, The Royal Society of Chemistry, the American Physical Society, and a Fellow of AAAS. SURJIT SINGH, PhD, is a research scientist with the SubPicosecond and Quantum Radiation Laboratory at Texas Tech University. He is a member of the American Physical Society and the Indian Physics Association.
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Reviews

"...a course based on the book will expose the richness and beauty of statistical mechanics to the students and...incite their curiosity for further study and research in this fascinating field." (Zentralblatt MATH, Vol. 973, 2001/23)
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