Multilevel simulation of hard-sphere mixtures

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 canonica...

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Veröffentlicht in:The Journal of chemical physics 2022-09, Vol.157 (12), p.124109-124109
Hauptverfasser: Rohrbach, Paul B., Kobayashi, Hideki, Scheichl, Robert, Wilding, Nigel B., Jack, Robert L.
Format: Artikel
Sprache:eng
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Zusammenfassung: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.
ISSN:0021-9606
1089-7690
DOI:10.1063/5.0102875