Polymer Simulations with a flat histogram stochastic growth algorithm
Thomas Prellberg, Jaroslaw Krawczyk, Andrew Rechnitzer
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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