On the inner workings of Monte Carlo codes

被引:340
作者
Dubbeldam, David [1 ]
Torres-Knoop, Ariana [1 ]
Walton, Krista S. [2 ]
机构
[1] Univ Amsterdam, Vant Hoff Inst Mol Sci, NL-1098XH Amsterdam, Netherlands
[2] Georgia Inst Technol, Sch Chem & Biomol Engn, Atlanta, GA 30332 USA
基金
美国国家科学基金会;
关键词
Monte Carlo; implementation; configurational bias; continuous fractional; nested sampling; MOLECULAR-FORCE FIELD; INTERMOLECULAR POTENTIAL FUNCTIONS; UNITED-ATOM DESCRIPTION; CHEMICAL-REACTION EQUILIBRIA; EXPLICIT-HYDROGEN DESCRIPTION; ISOTHERMAL-ISOBARIC ENSEMBLE; PHASE COEXISTENCE PROPERTIES; EQUATION-OF-STATE; VAN-DER-WAALS; TRANSFERABLE POTENTIALS;
D O I
10.1080/08927022.2013.819102
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
We review state-of-the-art Monte Carlo (MC) techniques for computing fluid coexistence properties (Gibbs simulations) and adsorption simulations in nanoporous materials such as zeolites and metal-organic frameworks. Conventional MC is discussed and compared to advanced techniques such as reactive MC, configurational-bias Monte Carlo and continuous fractional MC. The latter technique overcomes the problem of low insertion probabilities in open systems. Other modern methods are (hyper-)parallel tempering, Wang-Landau sampling and nested sampling. Details on the techniques and acceptance rules as well as to what systems these techniques can be applied are provided. We highlight consistency tests to help validate and debug MC codes.
引用
收藏
页码:1253 / 1292
页数:40
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