Bin Chen† and
University of Minnesota
2 Papers
Bin Chen† and is an academic researcher from University of Minnesota. The author has contributed to research in topics: Monte Carlo algorithm & Monte Carlo method. The author has an hindex of 2, co-authored 2 publications.
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Papers
A Novel Monte Carlo Algorithm for Simulating Strongly Associating Fluids: Applications to Water, Hydrogen Fluoride, and Acetic Acid
Bin Chen† and,J. Ilja Siepmann +1 more
TL;DR: In this article, a novel aggregation-volume-bias Monte Carlo (AVBMC) algorithm is presented which greatly enhances the efficiency of sampling the phase space of fluid systems consisting of strongly associating molecules.
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Improving the Efficiency of the Aggregation−Volume−Bias Monte Carlo Algorithm
Bin Chen† and,J. Ilja Siepmann +1 more
TL;DR: The aggregation−volume−bias Monte Carlo (AVBMC) algorithm is reanalyzed, and on the basis of this analysis, two extensions of the AVBMC algorithm with improved sampling efficiency for super-strongly associating fluids are presented.