Cluster Heat Bath Algorithm in Monte Carlo Simulations of Ising Models

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.

10 pages, REVTeX, 2 figures, to appear in Phys.Rev.Lett

References in corpus (1)

• A cluster heat bath method on a quasi-onedimensional Ising model

Cited by in corpus (10)

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• Low Temperature Phase of Asymmetric Spin Glass Model in Two Dimensions
• Efficient Monte Carlo algorithm in quasi-one-dimensional Ising spin systems
• Thermal control of spin excitations in the coupled Ising-chain material RbCoCl3
• Magnetic order in the quasi-one-dimensional Ising system RbCoCl${}_3$
• Spin-lattice model of Magneto-electric Transitions in RbCoBr${}_3$
• Belief-Propagation Guided Monte-Carlo Sampling
• Kosterlitz-Thouless Phase Transition of the ANNNI model in Two Dimensions
• Monte Carlo study of linear chain submonolayer structures.Application to Li/W(112)
• Domain State of the ANNNI model in Two Dimensions