Taylor-Expansion Monte Carlo Simulations of Classical Fluids in the Canonical and Grand Canonical Ensemble
โ Scribed by Martin Schoen
- Publisher
- Elsevier Science
- Year
- 1995
- Tongue
- English
- Weight
- 749 KB
- Volume
- 118
- Category
- Article
- ISSN
- 0021-9991
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โฆ Synopsis
In this article the Taylor-expansion method is introduced by which Monte Carlo ( (\mathrm{MC}) ) simulations in the canonical ensemble can be speeded up significantly. Substantial gains in computational speed of (20-40 %) over conventional implementations of the (M C) technique are obtained over a wide range of densities in homogeneous bulk phases. The basic philosophy behind the Taylor-expansion method is a division of the neighborhood of each atom (or molecule) into three different spatial zones. Interactions between atoms belonging to each zone are treated at different levels of computational sophistication. For example, only interactions between atoms belonging to the primary zone immediately surrounding an atom are treated explicitly before and after displacement. The change in the configurational energy contribution from secondary-zone interactions is obtained from the first-order term of a Taylor expansion of the configurational energy in terms of the displacement vector (d). Interactions with atoms in the tertiary zone adjacent to the secondary zone are neglected throughout. The Taylor-expansion method is not restricted to the canonical ensemble but may be employed to enhance computational efficiency of MC simulations in other ensembles as well. This is demonstrated for grand canonical ensemble (M C) simulations of an inhomogeneous fluid which can be performed essentially on a modern personal computer. 1995 Academic Press, Inc.
๐ SIMILAR VOLUMES
A model of hard spheres adsorbed in a disordered quenched matrix of chain molecules is studied by using the replica Ornstein-Zernike equations and grand canonical Monte Carlo simulations. The pair distribution functions and the adsorption isotherms are obtained and discussed. The theory agrees well