Repository: Freie Universit├Ąt Berlin, Math Department

An infinite swapping approach to the rare-event sampling problem

Plattner, N. and Doll, J. D. and Dupuis, P. and Wang, H. and Liu, Y. and Gubernatis, J. E. (2011) An infinite swapping approach to the rare-event sampling problem. The Journal of Chemical Physics, 135 (13). p. 134111. ISSN 00219606

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Official URL: http://dx.doi.org/10.1063/1.3643325

Abstract

We describe a new approach to the rare-event Monte Carlo sampling problem. This technique utilizes a symmetrization strategy to create probability distributions that are more highly connected and, thus, more easily sampled than their original, potentially sparse counterparts. After discussing the formal outline of the approach and devising techniques for its practical implementation, we illustrate the utility of the technique with a series of numerical applications to Lennard-Jones clusters of varying complexity and rare-event character.

Item Type:Article
Subjects:Physical Sciences > Chemistry
ID Code:1250
Deposited By: BioComp Admin
Deposited On:19 Apr 2013 12:42
Last Modified:19 Apr 2013 12:42

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