Polymer Simulations with a flat histogram stochastic growth algorithm

2004/02/23 by Thomas Prellberg, Prellberg, Thomas, Jaroslaw Krawczyk +3
Physics and Astronomy · #FOS: Physical sciences #Soft Condensed Matter (cond-mat.soft) #Statistical Mechanics (cond-mat.stat-mech) #cond-mat.soft #cond-mat.stat-mech

paper · pdf · doi:10.48550/arxiv.cond-mat/0402549

17th Annual Workshop: Recent Developments in Computer Simulation Studies in Condensed Matter Physics, University of Georgia, GA (February, 2004)

arxiv created 2004/02/23 · arxiv updated 2009/12/01

Abstract

We present Monte Carlo simulations of lattice models of polymers. These simulations are intended to demonstrate the strengths of a powerful new flat histogram algorithm which is obtained by adding microcanonical reweighting techniques to the pruned and enriched Rosenbluth method (PERM).

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