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Catalytic tempering: A method for sampling rough energy landscapes by Monte Carlo

A new Monte Carlo algorithm is presented for the efficient sampling of the Boltzmann distribution of configurations of systems with rough energy landscapes. The method is based on the introduction of a fictitious coordinate y so that the dimensionality of the system is increased by one. This augment...

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Detalhes bibliográficos
Main Authors: Stolovitzky, Gustavo, Berne, B. J.
Formato: Artigo
Idioma:Inglês
Publicado em: The National Academy of Sciences 2000
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC17171/
https://ncbi.nlm.nih.gov/pubmed/11027326
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