arXiv Analytics

Sign in

arXiv:cond-mat/9706190AbstractReferencesReviewsResources

Monte Carlo simulation of ice models

G. T. Barkema, M. E. J. Newman

Published 1997-06-18Version 1

We propose a number of Monte Carlo algorithms for the simulation of ice models and compare their efficiency. One of them, a cluster algorithm for the equivalent three colour model, appears to have a dynamic exponent close to zero, making it particularly useful for simulations of critical ice models. We have performed extensive simulations using our algorithms to determine a number of critical exponents for the square ice and F models.

Comments: 32 pages including 15 postscript figures, typeset in LaTeX2e using the Elsevier macro package elsart.cls
Journal: Phys. Rev. E 57, 1155 (1998)
Categories: cond-mat.stat-mech
Related articles: Most relevant | Search more
arXiv:0708.1628 [cond-mat.stat-mech] (Published 2007-08-12)
Blocks adjustment -- reduction of bias and variance of detrended fluctuation analysis using Monte Carlo simulation
arXiv:cond-mat/9612183 (Published 1996-12-19)
Cluster Algorithm for hard spheres and related systems
Diffusion-driven self-assembly of rod-like particles: Monte Carlo simulation on a square lattice