Monte Carlo study of the interacting self-avoiding walk model in three dimensions.

DOI10.1007/BF02189229zbMath1042.82555OpenAlexW1997665816MaRDI QIDQ1593348

E. J. Janse van Rensburg, Enzo Orlandini, Maria Carla Tesi, Stuart G. Whittington

Publication date: 16 January 2001

Published in: Journal of Statistical Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02189229

zbMATH Keywords

Markov chainsphase transitionslattice modelsMonte Carlo algorithmsSelf-avoiding walks

Mathematics Subject Classification ID

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Cites Work

• Critical behavior of two-dimensional spin models and charge asymmetry in the Coulomb gas
• Importance sampling for families of distributions
• Critical exponents, hyperscaling, and universal amplitude ratios for two- and three-dimensional self-avoiding walks.
• The pivot algorithm: a highly efficient Monte Carlo method for the self-avoiding walk.
• Exact Results for Supersymmetric<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>σ</mml:mi></mml:math>Models
• A general limitation on Monte Carlo algorithms of the Metropolis type
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