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Understanding Molecular Simulation: From Algorithms to Applications

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Understanding Molecular 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 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.

664 pages, Hardcover

First published July 1, 1996

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Daan Frenkel

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Displaying 1 - 5 of 5 reviews
Profile Image for Martina.
436 reviews35 followers
November 30, 2014
A great, comprehensive guide to the world of simulations. Clear, precise and going from the basics, this is an excellent textbook for beginners. I particularly like that it lays good mathematical and physical foundations of the methods and tricks used in simulations, so that the user isn't put in the situation where he/she feeds data into a black box and expects output. (Granted, I read thoroughly only the parts concerning molecular dynamics, but I also liked what little I read on Monte Carlo.)
Profile Image for Andrii Kaa.
19 reviews2 followers
March 4, 2015
It is a comprehensive guide on molecular dynamics and Monte Carlo simulations. This book is oriented more on physicists and material scientists than chemists. Despite of difficult maths, the concepts are easily understood, although sometimes the author chooses not the easiest way to introduce certain approach. Algorithms written in pseudo-code greatly simplify understanding. Being a chemist, I also think that a chapter on different kinds of force fields would be appropriate.
95 reviews
February 23, 2017
Everyone uses this because it's one of the only algorithms book in computational chemistry.

It's certainly lacking in some areas (Monte Carlo, for instance), but overall it's pretty solid as a reference for things computational chemsitry.
Displaying 1 - 5 of 5 reviews

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