Entropy derivation for cluster methods in non-Bravais lattices
classification
❄️ cond-mat
keywords
clusterconfigurationderivationentropylatticesmethodmethodsnon-bravais
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The derivation of entropy for cluster methods is reformulated by constructing the probability of a given particle (spin) configuration as a self-consistent product of cluster configuration probabilities. This approach gives an insight into the nature of underlying approximations involved at different levels of the cluster-variation method. The graphical representation of the product allows us to extend this method for non-Bravais lattices as it is demonstrated on interstitial sites of body-centered- and face-centered-cubic crystals.
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