Cluster Heat Bath Algorithm in Monte Carlo Simulations of Ising Models
Condensed Matter
2009-10-30 v1
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.
Keywords
Cite
@article{arxiv.cond-mat/9704114,
title = {Cluster Heat Bath Algorithm in Monte Carlo Simulations of Ising Models},
author = {F. Matsubara and A. Sato and O. Koseki and T. Shirakura},
journal= {arXiv preprint arXiv:cond-mat/9704114},
year = {2009}
}
Comments
10 pages, REVTeX, 2 figures, to appear in Phys.Rev.Lett