Cluster variation - Pade` approximants method for the simple cubic Ising model
classification
❄️ cond-mat.stat-mech
keywords
clustermethodvariationpaderesultsappliedapproximantcritical
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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.
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