Convergence of Fine-lattice Discretization for Near-critical Fluids
Abstract
In simulating continuum model fluids that undergo phase separation and criticality, significant gains in computational efficiency may be had by confining the particles to the sites of a lattice of sufficiently fine spacing, (relative to the particle size, say ). But a cardinal question, investigated here, then arises, namely: How does the choice of the lattice discretization parameter, , affect the values of interesting parameters, specifically, critical temperature and density, and ? Indeed, for small - the underlying lattice can strongly influence the thermodynamic properties. A heuristic argument, essentially exact in and dimensions, indicates that for models with hard-core potentials, both and should converge to their continuum limits as for when ; but the behavior of the error is highly erratic for . For smoother interaction potentials, the convergence is faster. Exact results for models of van der Waals character confirm this; however, an optimal choice of can improve the rate of convergence by a factor . For models, the convergence of the {\em second virial coefficients} to their continuum limits likewise exhibit erratic behavior which is seen to transfer similarly to and ; but this can be used in various ways to enhance convergence and improve extrapolation to as is illustrated using data for the restricted primitive model electrolyte.
Keywords
Cite
@article{arxiv.cond-mat/0502169,
title = {Convergence of Fine-lattice Discretization for Near-critical Fluids},
author = {Sarvin Moghaddam and Young C. Kim and Michael E. Fisher},
journal= {arXiv preprint arXiv:cond-mat/0502169},
year = {2007}
}
Comments
To appear in J. Phys. Chem. in honor of David Chandler