Polymer Simulations with a flat histogram stochastic growth algorithm

Details Polymer Simulations with a flat histogram stochastic growth algorithm Polymer Simulations with a flat histogram stochastic growth algorithm

2004-02-23

arxiv.org/abs/cond-mat/0402549v1

Physics

Condensed Matter

Soft Condensed Matter

17th Annual Workshop: Recent Developments in Computer Simulation Studies in Condensed Matter Physics, University of Georgia, G

Scientific paper

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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