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Understanding Molecular Simulation: From Algorithms to Applications

, and . Computational Science Series Academic Press, San Diego, Second edition, (2002)

Abstract

An advanced text on the physics and computation of atomistic simulations. Chapter titles are: introduction; statistical mechanics; Monte Carlo simulations; molecular dynamics simulations; Monte Carlo simulations in various ensembles; molecular dynamics in various ensembles; free energy calculations; the Gibbs ensemble; other methods to study coexistence; free energies of solids; free energy of chain molecules; long-range interactions; biased Monte Carlo schemes; accelerating Monte Carlo sampling; tackling time-scale problems; rare events; dissipative particle dynamics. Appendices are entitled: (the) Lagrangian and Hamiltonian; non-Hamiltonian dynamics; linear response theory; statistical errors; integration schemes; saving CPU time; reference states; statistical mechanics of the Gibbs ``ensemble''; overlapping distribution for polymers; some general purpose algorithms; small research projects; hints for programming.

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