Computer Simulation of Liquids: Second Edition, Edition 2

Oxford University Press
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This book provides a practical guide to molecular dynamics and Monte Carlo simulation techniques used in the modelling of simple and complex liquids. Computer simulation is an essential tool in studying the chemistry and physics of condensed matter, complementing and reinforcing both experiment and theory. Simulations provide detailed information about structure and dynamics, essential to understand the many fluid systems that play a key role in our daily lives: polymers, gels, colloidal suspensions, liquid crystals, biological membranes, and glasses. The second edition of this pioneering book aims to explain how simulation programs work, how to use them, and how to interpret the results, with examples of the latest research in this rapidly evolving field. Accompanying programs in Fortran and Python provide practical, hands-on, illustrations of the ideas in the text.
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About the author

Michael Allen obtained his first degree, and doctorate, in Chemistry at the University of Oxford. After post-doctoral positions at UCLA and Oxford, he was, in 1985, appointed Lecturer, then Reader, and finally Professor in Physics at the University of Bristol. In 2001 he became founding Director of the Centre for Scientific Computing in Warwick, where he stayed in Physics until retirement in 2014. Allen was awarded an Alexander von Humboldt Foundation Forschungspreis in 1999, visiting Mainz (University and MPI for Polymer Research). He received the 2015 Lennard-Jones award and lectureship from the Royal Society of Chemistry Statistical Mechanics and Thermodynamics Group, and the Thermodynamics Conference series. Dominic Tildesley obtained his first degree at the University of Southampton, and his doctorate in Chemistry at the University of Oxford. After post-doctoral positions at Penn State and Cornell, he was appointed Lecturer, then Reader, and Professor in Chemistry at the University of Southampton. In 1998 he became Head of Physical Sciences at Unilever Research and Development, Port Sunlight and in 2004, Chief Scientist of the Home and Personnel Care Division. In 2013, he was appointed as Director of the Centre Européen de Calcul Atomique et Moleculaire at the EPFL in Switzerland. Tildesley was awarded the Marlow and Tilden medals of the Royal Society of Chemistry and a CBE for services to science, technology and business.
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Additional Information

Oxford University Press
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Published on
Aug 15, 2017
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Best For
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Computers / Computer Simulation
Science / Mechanics / Fluids
Science / Physics / General
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Content Protection
This content is DRM protected.
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Eligible for Family Library

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Understanding Molecular Simulation: From Algorithms to Applications explains the physics behind the "recipes" of molecular simulation for materials science. Computer simulators are continuously confronted with questions concerning the choice of a particular technique for a given application. A wide variety of tools exist, so the choice of technique requires a good understanding of the basic principles. More importantly, such understanding may greatly improve the efficiency of a simulation program. The implementation of simulation methods is illustrated in pseudocodes and their practical use in the case studies used in the text.

Since the first edition only five years ago, the simulation world has changed significantly -- current techniques have matured and new ones have appeared. This new edition deals with these new developments; in particular, there are sections on:

· Transition path sampling and diffusive barrier crossing to simulaterare events
· Dissipative particle dynamic as a course-grained simulation technique
· Novel schemes to compute the long-ranged forces
· Hamiltonian and non-Hamiltonian dynamics in the context constant-temperature and constant-pressure molecular dynamics simulations
· Multiple-time step algorithms as an alternative for constraints
· Defects in solids
· The pruned-enriched Rosenbluth sampling, recoil-growth, and concerted rotations for complex molecules
· Parallel tempering for glassy Hamiltonians

Examples are included that highlight current applications and the codes of case studies are available on the World Wide Web. Several new examples have been added since the first edition to illustrate recent applications. Questions are included in this new edition. No prior knowledge of computer simulation is assumed.
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