Extension of Molecular Exchange Monte Carlo for the Prediction of Liquid–Liquid Equilibria in Gibbs Ensemble Monte Carlo Simulations

The Molecular Exchange Monte Carlo (MEMC) algorithm is extended to support the calculation of liquid-liquid equilibria with Gibbs ensemble Monte Carlo (GEMC). The utility of the method is demonstrated through the application of constant-pressure GEMC simulations, using the Transferable Potentials for Phase Equilibria, to predict liquid-liquid coexistence curves for mixtures of perfluoroalkanes + alkanes and dimethyl ether + water. Good qualitative agreement is achieved between the predictions of the simulation and experiment; however, improvements to the intermolecular potentials used are required to achieve quantitative accuracy. Relative acceptance rates for molecule transfers up to 50 times greater than those obtained with standard configurational-bias Monte Carlo are obtained.

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Journal
The Journal of Physical Chemistry B
Published
2025-09-29
DOI
https://doi.org/10.1021/acs.jpcb.5c04156
Primary Topic
Phase Equilibria and Thermodynamics
Type
article
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article

Extension of Molecular Exchange Monte Carlo for the Prediction of Liquid–Liquid Equilibria in Gibbs Ensemble Monte Carlo Simulations

Jeffrey J. Potoff, Mohammad Soroush Barhaghi, Loren Schwiebert
The Journal of Physical Chemistry B
Phase Equilibria and Thermodynamics
article

Extension of Molecular Exchange Monte Carlo for the Prediction of Liquid–Liquid Equilibria in Gibbs Ensemble Monte Carlo Simulations

Jeffrey J. Potoff, Mohammad Soroush Barhaghi, Loren Schwiebert
article en

Abstract

The Molecular Exchange Monte Carlo (MEMC) algorithm is extended to support the calculation of liquid-liquid equilibria with Gibbs ensemble Monte Carlo (GEMC). The utility of the method is demonstrated through the application of constant-pressure GEMC simulations, using the Transferable Potentials for Phase Equilibria, to predict liquid-liquid coexistence curves for mixtures of perfluoroalkanes + alkanes and dimethyl ether + water. Good qualitative agreement is achieved between the predictions of the simulation and experiment; however, improvements to the intermolecular potentials used are required to achieve quantitative accuracy. Relative acceptance rates for molecule transfers up to 50 times greater than those obtained with standard configurational-bias Monte Carlo are obtained.

The Journal of Physical Chemistry BVol. 129(40)
Wayne State University (US)
Openalex Percentile: Top 74%
Phase Equilibria and Thermodynamics
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Extension of Molecular Exchange Monte Carlo for the Prediction of Liquid–Liquid Equilibria in Gibbs Ensemble Monte Carlo Simulations — Jeffrey J. Potoff, Mohammad Soroush Barhaghi, et al. · The Journal of Physical Chemistry B (2025) | TGRS Research Map | TGRS