Multilevel simulation of hard-sphere mixtures

2022 | journal article. A publication with affiliation to the University of Göttingen.

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​Multilevel simulation of hard-sphere mixtures​
Rohrbach, P. B.; Kobayashi, H.; Scheichl, R.; Wilding, N. B. & Jack, R. L.​ (2022) 
The Journal of Chemical Physics157(12) art. 124109​.​ DOI: https://doi.org/10.1063/5.0102875 

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Authors
Rohrbach, Paul B.; Kobayashi, Hideki; Scheichl, Robert; Wilding, Nigel B.; Jack, Robert L.
Abstract
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.
Issue Date
2022
Journal
The Journal of Chemical Physics 
Organization
Institut für Theoretische Physik 
ISSN
0021-9606
eISSN
1089-7690
Language
English
Sponsor
Leverhulme Trust http://dx.doi.org/10.13039/501100000275

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