Provides an introduction to analytical and computational techniques of statistical mechanics
Covers current applications in several areas of chemistry with an analytical algorithmic approach
Allows students to verify results in the literature and formulate their own problems
This book reflects the advances in theories of liquids and computer simulation techniques and the applications to systems containing solutions of proteins and nucleic acids. It provides an introduction to analytical as well as computational techniques of statistical mechanics as applied problems to chemical interest. Using the up-to-date techniques provided in Statistical Mechanics: Techniques and Chemical Applications, students will be able to verify some of the results in the literature, formulate their own problems, and gain insights in their own research.
Table of Contents
PRINCIPLES Classical and Quantum Mechanics Ensembles and Averages Computer Simulations Equilibrium Theory of Liquids Nonequilibrium Phenomena Linear Response Theory Phase Transitions and Critical Phenomena CHEMICAL APPLICATIONS Aqueous and Nonaqueous Solutions Chemical Dynamics in Solution Media MD Simulations in Solids Sedimentation in a Random Medium Density Functional Methods Path Integral Methods Molecule Surface Interactions Polymer Solutions Colloidal Solutions Lattice Statistics Biomolecular Systems Potential Energy Surfaces APPENDICES Functional Expansions and Diagram Techniques Analytical Solutions PY MSA Integral Transforms and Algorithms for the Transforms Computational Schemes for the Molecular Dynamics for Fluids Algorithms for Solutions of Liouville, Fokker Planck, and Smoluchowsky Equations
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