Computer Simulation in Chemical Physics

by M.P. Allen (Editor), D.J. Tildesley (Editor)

Overview

Computer Simulation in Chemical Physics contains the proceedings of a NATO Advanced Study Institute held at CORISA, Alghero, Sardinia, in September 1992. In the five years that have elapsed since the field was last summarized there have been a number of remarkable advances which have significantly expanded the scope of the methods. Good examples are the Car—Parrinello method, which allows the study of materials with itinerant electrons; the Gibbs technique for the direct simulation of liquid—vapor phase equilibria; the transfer of scaling concepts from simulations of spin models to more complex systems; and the development of the configurational—biased Monte-Carlo methods for studying dense polymers. The field has also been stimulated by an enormous increase in available computing power and the provision of new software.
All these exciting developments, an more, are discussed in an accessible way here, making the book indispensable reading for graduate students and research scientists in both academic and industrial settings.

Product Details

ISBN-13:	9780792322832
Publisher:	Springer-Verlag New York, LLC
Publication date:	04/28/1993
Series:	NATO Advanced Science Institutes Series , #397
Pages:	532
Product dimensions:	6.14(w) x 9.21(h) x 1.19(d)

Table of Contents

1 The Monte Carlo Method.- 1.1 The Metropolis algorithm.- 1.2 Other ensembles.- 1.3 A non-symmetrical underlying matrix.- 1.4 Molecular systems.- 1.5 Polymers.- 1.6 Conclusions.- 2 The Molecular Dynamics Method.- 2.1 Introduction.- 2.2 Constraint dynamics.- 2.3 Long-range forces.- 2.4 Conclusions.- 3 Back to basics.- 3.1 Introduction.- 3.2 Average values, fluctuations and errors.- 3.3 Ensembles and distributions.- 3.4 Distribution functions.- 3.5 Finite-size scaling and phase transitions.- 3.6 Transport coefficients.- 3.7 Conclusions.- 4 Advanced Monte Carlo Techniques.- 4.1 Introduction.- 4.2 Other ensembles.- 4.3 Virtual moves.- 4.4 Beyond single-particle moves.- 4.5 Thermodynamic integration.- 4.6 The grand canonical miracle.- 5 Thermodynamic Constraints.- 5.1 Introduction.- 5.2 Andersen’s demon.- 5.3 Time and ensemble averages.- 5.4 Nosé-Hoover thermostat.- 5.5 Molecular systems.- 5.6 Numerical considerations.- 6 Computer Simulations in the Gibbs Ensemble.- 6.1 Introduction.- 6.2 Theoretical aspects.- 6.3 Computational aspects.- 6.4 Finite-size effects.- 6.5 Analyzing the results.- 6.6 Applications.- 7 Effective Pair Potentials and Beyond.- 7.1 Introduction.- 7.2 Where potentials come from.- 7.3 Simple atomic and ionic systems.- 7.4 Molecular liquids and solids.- 7.5 Introducing electronic polarization.- 7.6 Bonded interactions.- 7.7 Conclusion.- 8 First-Principles Molecular Dynamics.- 8.1 Introduction.- 8.2 First-principles interatomic potential.- 8.3 Molecular dynamics based on density functional theory.- 8.4 Practical implementation of a DF-MD scheme.- 8.5 Selected applications of first-principles molecular dynamics.- 9 Computer Simulation Methods for Nonadiabatic Dynamics in Condensed Systems.- 9.1 Introduction.- 9.2 Formal background and basic principles.-9.3 Surface-hopping trajectory methods.- 9.4 Self-consistent energy-conserving nonadiabatic dynamics.- 9.5 Test problems and applications.- 9.6 Conclusions.- 10 Long Length-Scale Aspects of Self Organization Phenomena.- 10.1 Introduction: an apologia.- 10.2 Universality and near universality.- 10.3 The nearest-neighbour Ising model as a computational model of simple fluids.- 10.4 Wheeler-Widom-type models as lattice fluids.- 10.5 Some tricks of the trade; Ising-like models.- 10.6 Analysis of Monte-Carlo data: finite-size scaling in Monte-Carlo simulations.- 10.7 Equilibrium simulation of Ising lattice model of microemulsion and the systematic construction of the phase diagram of microemulsion.- 10.8 Conclusions.- 11 Computer Simulation of Polymers.- 11.1 Introduction.- 11.2 Polymer simulations: general considerations.- 11.3 Algorithms for static properties.- 11.4 Simulations of polymer dynamics.- 11.5 Reptation.- 11.6 Extensions: glasses and networks.- 11.7 Further reading.- 11.8 Conclusions.- 12 Computer Simulations of Surfactants.- 12.1 Introduction.- 12.2 Surfactant monolayers.- 12.3 Micelles.- 12.4 Concluding remarks.- 13 Parallel Computing and Molecular Dynamics Simulations.- 13.1 Introduction.- 13.2 Computer architectures.- 13.3 Parallel programming concepts.- 13.4 Parallel molecular dynamics.- 13.5 Nucleation simulations.- 13.6 Conclusion.- 14 Scientific Visualization, A User View.- 14.1 Introduction.- 14.2 Discussion.- List of Participants.- List of Posters.

Editorial Reviews

Proceedings of a NATO ASI held near Alghero, Italy in September 1992. The school focused on recent progress in applying the methods of computer simulation to problems in chemical physics. The 14 lectures address topics including the molecular dynamics method, advanced Monte Carlo techniques, thermodynamic constraints, computer simulations in the Gibbs ensemble, effective pair potentials and beyond, first principles molecular dynamics, computer simulation methods for nonadiabatic dynamics in condensed systems, long length- scale aspects of self organization phenomena, computer simulation of polymers, computer simulation of surfactants, parallel computing and molecular dynamics simulations, and scientific visualization--a user view. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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