Gibbs ensemble Monte Carlo with solvent repacking: phase coexistence of size-asymmetrical binary Lennard-Jones mixtures

被引:4
|
作者
Guo, Ziwei [1 ]
Kindt, James T. [1 ]
机构
[1] Emory Univ, Dept Chem, 1515 Pierce Dr, Atlanta, GA 30322 USA
基金
美国国家科学基金会;
关键词
Lennard-Jones; phase coexistence; Gibbs Monte Carlo; configuration bias Monte Carlo; GEOMETRIC CLUSTER ALGORITHM; EQUATION-OF-STATE; SIMULATION; EQUILIBRIA; FLUID; BEHAVIOR; LIQUID; DIAGRAMS; MODEL; VAN;
D O I
10.1080/08927022.2017.1373192
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
We describe aMonte Carlo method for simulation of vapour-liquid phase coexistence in size-asymmetrical Lennard-Jones ( LJ) binary mixtures. The method incorporates the Solvent Repacking Monte Carlo ( SRMC) approach, which offers efficient trial moves for the exchange of a large particle for several small particles, into the Gibbs Ensemble Monte Carlo ( GEMC) method. SRMC yields a significant efficiency improvement in simulation of dilute large species mixtures at low temperature compared to the original GEMC method with identity exchange moves. Vapor-liquid phase diagrams are reported for LJ mixtures with a diameter ratio sSS : sLL of 1: 2 with well depth ratios SS : LL = 1.2, 1.5 and 2, producing spindle-type, azeotrope and closed loop types of phase diagram, respectively.
引用
收藏
页码:300 / 308
页数:9
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