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Cluster Heat Bath Algorithm in Monte Carlo Simulations of Ising Models

F. Matsubara·A. Sato·O. Koseki·T. Shirakura
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Abstract

We have proposed a cluster heat bath method in Monte Carlo simulations of Ising models in which one of the possible spin configurations of a cluster is selected in accordance with its Boltzmann weight. We have argued that the method improves slow relaxation in complex systems and demonstrated it in an axial next-nearest-neighbor Ising(ANNNI) model in two-dimensions.

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F. Matsubara, A. Sato, O. Koseki, T. Shirakura. 1997-04-14. Cluster Heat Bath Algorithm in Monte Carlo Simulations of Ising Models. https://doi.org/10.1103/physrevlett.78.3237

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