Cluster variation - Pade` approximants method for the simple cubic Ising model

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.

8 RevTeX pages, 3 PostScript figures

References in corpus (2)

• The Magnetization of the 3D Ising Model
• Critical Exponents of the 3-D Ising Model

Cited by in corpus (3)

• Cluster Variation Method in Statistical Physics and Probabilistic Graphical Models
• On the convergence of Kikuchi's natural iteration method
• Generalized belief propagation for the magnetization of the simple cubic Ising model