Polymer Simulations with a flat histogram stochastic growth algorithm

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dc.creatorPrellberg, Thomas
dc.creatorKrawczyk, Jaroslaw
dc.creatorRechnitzer, Andrew
dc.date2004-02-23
dc.date.accessioned2026-07-07T02:56:36Z
dc.date.available2026-07-07T02:56:36Z
dc.descriptionWe 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).
dc.description17th Annual Workshop: Recent Developments in Computer Simulation Studies in Condensed Matter Physics, University of Georgia, GA (February, 2004)
dc.identifierhttps://arxiv.org/abs/cond-mat/0402549
dc.identifierhttp://arxiv.org/abs/cond-mat/0402549
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/23390
dc.subjectSoft Condensed Matter
dc.subjectStatistical Mechanics
dc.titlePolymer Simulations with a flat histogram stochastic growth algorithm
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