Computer simulation techniques have become almost essential in the study of the macro-molecular phenomena and phase behavior on the molecular level. As these techniques become increasingly important, it is necessaryto realize that they are useful tools, but are not the goals of research. With this important distinction in mind, Understanding Molecular Simulation describes simulation techniques along with the physics behind the phenomena that these techniques simulate.
Each chapter is comprised of three components: the general theoretical basis, an outline of the necessary computer code, and a few applications which illustrate the use of the technique demonstrated. The chapters also include examples of the typical practical problems that could be solved using each technique.
Key Features
* Gives a unified presentation of computational tools used to study molecular systems in the equilibrium state
* Describes simulation techniques and physics behind the phenomena simulated
* Emphasizes important topics of phase behavior and computer simulation of macro-molecular (polymer-type) substances
* Includes references to the authors home page where additional information from the authors can be found
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Daan Frenkel is based at the FOM Institute for Atomic and Molecular Physics and at the Department of Chemistry, University of Amsterdam. His research has three central themes: prediction of phase behavior of complex liquids, modeling the (hydro) dynamics of colloids and microporous structures, and predicting the rate of activated processes. He was awarded the prestigious Spinoza Prize from the Dutch Research Council in 2000.
Berend Smit is Professor at the Department of Chemical Engineering of the Faculty of Science, University of Amsterdam. His research focuses on novel Monte Carlo simulations. Smit applies this technique to problems that are of technological importance, particularly those of interest in chemical engineering.
This book explains the physics behind the "recipes" of molecular simulation for materials science. Computer simulators are continously confronted with questions concerning the choice of a particular technique for a given application. Since a wide variety of computational tools exists, 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. Examples are included that highlight current applications, and the codes of the case studies are available on the World Wide Web. No prior knowledge of computer simulation is assumed.
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