{
  "id": "cond-mat/9706190",
  "version": "v1",
  "published": "1997-06-18T16:34:45.000Z",
  "updated": "1997-06-18T16:34:45.000Z",
  "title": "Monte Carlo simulation of ice models",
  "authors": [
    "G. T. Barkema",
    "M. E. J. Newman"
  ],
  "comment": "32 pages including 15 postscript figures, typeset in LaTeX2e using the Elsevier macro package elsart.cls",
  "journal": "Phys. Rev. E 57, 1155 (1998)",
  "doi": "10.1103/PhysRevE.57.1155",
  "categories": [
    "cond-mat.stat-mech"
  ],
  "abstract": "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.",
  "revisions": [
    {
      "version": "v1",
      "updated": "1997-06-18T16:34:45.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "monte carlo simulation",
      "monte carlo algorithms",
      "dynamic exponent close",
      "cluster algorithm",
      "square ice"
    ],
    "tags": [
      "research tool",
      "journal article"
    ],
    "publication": {
      "publisher": "APS",
      "journal": "Phys. Rev. E"
    },
    "note": {
      "typesetting": "LaTeX",
      "pages": 32,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}