Cluster Heat Bath Algorithm in Monte Carlo Simulations of Ising Models

Physics – Condensed Matter

Scientific paper

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

Scientific paper

10.1103/PhysRevLett.78.3237

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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