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Titlebook: Computer Simulations of Surfaces and Interfaces; Burkhard Dünweg,David P. Landau,Andrey I. Milchev Book 2003 Springer Science+Business Med

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书目名称Computer Simulations of Surfaces and Interfaces
编辑Burkhard Dünweg,David P. Landau,Andrey I. Milchev
视频video
丛书名称NATO Science Series II: Mathematics, Physics and Chemistry
图书封面Titlebook: Computer Simulations of Surfaces and Interfaces;  Burkhard Dünweg,David P. Landau,Andrey I. Milchev Book 2003 Springer Science+Business Med
描述.Studies of surfaces and interactions between dissimilar materials or phases are vital for modern technological applications. Computer simulation methods are indispensable in such studies and this book contains a substantial body of knowledge about simulation methods as well as the theoretical background for performing computer experiments and analyzing the data. ..The book is self-contained, covering a range of topics from classical statistical mechanics to a variety of simulation techniques, including molecular dynamics, Langevin dynamics and Monte Carlo methods. A number of physical systems are considered, including fluids, magnets, polymers, granular media, and driven diffusive systems. The computer simulation methods considered include both standard and accelerated versions. The simulation methods are clearly related to the fundamental principles of thermodynamics and statistical mechanics. .
出版日期Book 2003
关键词Helium-Atom-Streuung; Monte Carlo method; granular media; liquid; polymer; polymers; simulation; thermodyna
版次1
doihttps://doi.org/10.1007/978-94-010-0173-1
isbn_softcover978-1-4020-1464-2
isbn_ebook978-94-010-0173-1Series ISSN 1568-2609
issn_series 1568-2609
copyrightSpringer Science+Business Media Dordrecht 2003
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Langevin Methods,ial equation, SDE) or (equivalently) a Fokker-Planck equation (FPE) comprising both drift and diffusion terms. The importance of the short-time behavior of the moments (mean displacement, mean square displacement) is stressed, and the problem of interpretation of SDEs (Ito vs. Stratonovich) is expla
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Statistical Ensembles for Monte Carlo Simulation,ed in computer simulations. We then demonstrate explicitly how each of the ensembles considered can be incorporated within a Monte Carlo simulation framework and discuss the physical situations in which each is most efficient. Finally we discuss the concept and utility of extended ensembles and desc
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First-Order Phase Transitions,with second-order transitions. Then special emphasis will be placed on the finite-size scaling behaviour of first-order phase transitions, which is essential for analyzing and interpreting numerical data obtained in computer simulations.
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Accelerated Algorithms 1: Lattice Models,cluster Aipping, “N-fold way”, and multicanonical methods, we describe a quite new approach, “Wang- Landau sampling”, that estimates the density of states directly. Detailed case studies are made of the application of some of these methods near 1st order and 2nd order transitions in 2D Ising and Pot
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