https://doi.org/10.1140/epjst/e2013-01740-4
Regular Article
Self-avoiding walks on strongly diluted lattices: Chain-growth simulations vs. exact enumeration
Institut für Theoretische Physik and Centre for Theoretical Sciences (NTZ), Universität Leipzig, Postfach 100 920, 04009 Leipzig, Germany
a e-mail: niklas.fricke@itp.uni-leipzig.de
b e-mail: wolfhard.janke@itp.uni-leipzig.de
Received:
30
November
2012
Revised:
6
December
2012
Published online:
31
January
2013
We discuss and compare two different methods that can be used to investigate self-avoiding walks on lattices with random site dilution. One is the so-called pruned-enriched Rosenbluth method (PERM), a chain-growth Monte Carlo algorithm, the other is a recently developed exact enumeration technique. While the latter is highly efficient for systems close to the critical concentration, it cannot be used for less dilute systems. PERM is more versatile but appears to have difficulties coping with strong confinement.
© EDP Sciences, Springer-Verlag, 2013
