Title
Improved Monte Carlo Scheme for Efficient Particle Transfer in Heterogeneous Systems in the Grand Canonical Ensemble: Application to Vapor-Liquid Nucleation
Document Type
Article
Publication Date
9-8-2015
Abstract
Reformulation of existing Monte Carlo algorithms used in the study of grand canonical systems has yielded massive improvements in efficiency. Here we present an energy biasing scheme designed to address targeting issues encountered in particle swap moves using sophisticated algorithms such as the Aggregation-Volume-Bias and Unbonding-Bonding methods. Specifically, this energy biasing scheme allows a particle to be inserted to (or removed from) a region that is more acceptable. As a result, this new method showed a several-fold increase in insertion/removal efficiency in addition to an accelerated rate of convergence for the thermodynamic properties of the system.
Publication Source (Journal or Book title)
Journal of chemical theory and computation
First Page
4023
Last Page
32
Recommended Citation
Loeffler, T. D., Sepehri, A., & Chen, B. (2015). Improved Monte Carlo Scheme for Efficient Particle Transfer in Heterogeneous Systems in the Grand Canonical Ensemble: Application to Vapor-Liquid Nucleation. Journal of chemical theory and computation, 11 (9), 4023-32. https://doi.org/10.1021/acs.jctc.5b00466