Multilevel simulation of hard-sphere mixtures
2022 | journal article. A publication of Göttingen
Jump to: Cite & Linked | Documents & Media | Details | Version history
Documents & Media
Details
- 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