Multilevel simulation of hard-sphere mixtures

被引:0
|
作者
Rohrbach, Paul B. [1 ]
Kobayashi, Hideki [2 ]
Scheichl, Robert [3 ,4 ]
Wilding, Nigel B. [5 ]
Jack, Robert L. [1 ,6 ]
机构
[1] Univ Cambridge, Dept Appl Math & Theoret Phys, Wilberforce Rd, Cambridge CB3 0WA, England
[2] Georg August Univ, Inst Theoret Phys, Gottingen, Germany
[3] Heidelberg Univ, Inst Appl Math, Im Neuenheimer Feld 205, D-69120 Heidelberg, Germany
[4] Univ Bath, Dept Math Sci, Bath BA2 7AY, Avon, England
[5] Univ Bristol, HH Wills Phys Lab, Royal Ft, Bristol BS8 1TL, Avon, England
[6] Univ Cambridge, Yusuf Hamied Dept Chem, Lensfield Rd, Cambridge CB2 1EW, England
来源
JOURNAL OF CHEMICAL PHYSICS | 2022年 / 157卷 / 12期
关键词
Mixtures;
D O I
10.1063/5.0102875
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 present a multilevel Monte Carlo simulation method for analyzing multi-scale physical systems via a hierarchy of coarse-grained representations, to obtain numerically exact results, at the most detailed level. We apply the method to a mixture of size-asymmetric hard spheres, in the grand canonical ensemble. A three-level version of the method is compared with a previously studied two-level version. The extra level interpolates between the full mixture and a coarse-grained description where only the large particles are present-this is achieved by restricting the small particles to regions close to the large ones. The three-level method improves the performance of the estimator, at fixed computational cost. We analyze the asymptotic variance of the estimator and discuss the mechanisms for the improved performance. (c) 2022 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
引用
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页数:22
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