Cluster variation - Pade` approximants method for the simple cubic Ising model
Statistical Mechanics
2009-10-31 v2
Abstract
The cluster variation - Pade` approximant method is a recently proposed tool, based on the extrapolation of low/high temperature results obtained with the cluster variation method, for the determination of critical parameters in Ising-like models. Here the method is applied to the three-dimensional simple cubic Ising model, and new results, obtained with an 18-site basic cluster, are reported. Other techniques for extracting non-classical critical exponents are also applied and their results compared with those by the cluster variation - Pade` approximant method.
Cite
@article{arxiv.cond-mat/9910294,
title = {Cluster variation - Pade` approximants method for the simple cubic Ising model},
author = {Alessandro Pelizzola},
journal= {arXiv preprint arXiv:cond-mat/9910294},
year = {2009}
}
Comments
8 RevTeX pages, 3 PostScript figures