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MONTE-CARLO STUDIES OF BINARY-MIXTURES - A FAST ALGORITHM FOR EQUILIBRATION

1991-11-29
Karaaslan, Hasan
YURTSEVER, E
An algorithm for speeding up the equilibration process of Monte Carlo simulations of multicomponent mixtures is presented. For the low-density mixtures, the method relies on an automatic scaling of the maximum-allowed-displacement (MAD) of each particle based on individual acceptance ratios. An exchange- and/or displacement-type motion is then introduced for the high-density mixtures. For a binary mixture of 864 Lennard-Jones particles, it is shown that a faster and smoother convergences to the equilibration is reached independently of the initial guess for the size of MAD, even when the number density of the solution is high.