Polymer Simulations with a flat histogram stochastic growth algorithm

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

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Soft Condensed Matter, Statistical Mechanics

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http://salesiana.dossiersoluciones.com/handle/123456789/23390

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cond-mat/0402549
 http://arxiv.org/abs/cond-mat/0402549

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arXiv