The Journal of Chemical Physics · 2003 · 306 citations · 53 references
Natural SciencesPhysicsComputational ThermodynamicsFluid DynamicsThermodynamicsMarkov Chain Monte CarloPhase EquilibriaPhase EquilibriumPhase TransitionsSimulation MethodsThermodynamics Of Phase EquilibriaCoexistence LineLiquid-liquid EquilibriaLiquid-liquid EquilibriumLiquid-vapor Critical PointLiquid-vapor EquilibriaLiquid-vapor EquilibriumPhase Equilibrium CalculationVapor-liquid Equilibria
An approach for directly determining the liquid–vapor phase equilibrium of a model system at any temperature along the coexistence line is described. The method relies on transition matrix Monte Carlo ideas developed by Fitzgerald, Picard, and Silver [Europhys. Lett. 46, 282 (1999)]. During a Monte Carlo simulation attempted transitions between states along the Markov chain are monitored as opposed to tracking the number of times the chain visits a given state as is done in conventional simulations. Data collection is highly efficient and very precise results are obtained. The method is implemented in both the grand canonical and isothermal–isobaric ensemble. The main result from a simulation conducted at a given temperature is a density probability distribution for a range of densities that includes both liquid and vapor states. Vapor pressures and coexisting densities are calculated in a straightforward manner from the probability distribution. The approach is demonstrated with the Lennard-Jones fluid. Coexistence properties are directly calculated at temperatures spanning from the triple point to the critical point.
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