Ensemble Optimization Techniques for the Simulation of Slowly Equilibrating Systems

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dc.creatorTrebst, S.
dc.creatorHuse, D. A.
dc.creatorGull, E.
dc.creatorKatzgraber, H. G.
dc.creatorHansmann, U. H. E.
dc.creatorTroyer, M.
dc.date2006-05-31
dc.date.accessioned2026-07-07T07:12:19Z
dc.date.available2026-07-07T07:12:19Z
dc.descriptionCompeting phases or interactions in complex many-particle systems can result in free energy barriers that strongly suppress thermal equilibration. Here we discuss how extended ensemble Monte Carlo simulations can be used to study the equilibrium behavior of such systems. Special focus will be given to a recently developed adaptive Monte Carlo technique that is capable to explore and overcome the entropic barriers which cause the slow-down. We discuss this technique in the context of broad-histogram Monte Carlo algorithms as well as its application to replica-exchange methods such as parallel tempering. We briefly discuss a number of examples including low-temperature states of magnetic systems with competing interactions and dense liquids.
dc.description15 pages, 6 figures, Invited talk at the 19th Annual Workshop on Computer Simulation Studies in Condensed Matter Physics, Athens, 20-24 February, 2006
dc.identifierhttps://arxiv.org/abs/cond-mat/0606005
dc.identifierhttp://arxiv.org/abs/cond-mat/0606005
dc.identifierSpringer Proceedings in Physics, Volume 115, Eds. D.P. Landau, S.P. Lewis, and H.-B. Schuettler (2007).
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/112046
dc.subjectStatistical Mechanics
dc.subjectComputational Physics
dc.titleEnsemble Optimization Techniques for the Simulation of Slowly Equilibrating Systems
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