Application of importance sampling to the computation of large deviations in nonequilibrium processes.

Please use this identifier to cite or link to this item: http://hdl.handle.net/2289/4287

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DC Field	Value	Language
dc.contributor.author	Kundu, Anupam	-
dc.contributor.author	Sabhapandit, Sanjib	-
dc.contributor.author	Dhar, Abhishek	-
dc.date.accessioned	2012-01-24T03:39:45Z	-
dc.date.available	2012-01-24T03:39:45Z	-
dc.date.issued	2011-03-16	-
dc.identifier.citation	Physical Review E, 2011, Vol.83, p031119	en
dc.identifier.issn	1550-2376 (Online)	-
dc.identifier.issn	1539-3755	-
dc.identifier.uri	http://hdl.handle.net/2289/4287	-
dc.description	Open Access.	en
dc.description.abstract	We present an algorithm for finding the probabilities of rare events in nonequilibrium processes. The algorithm consists of evolving the system with a modified dynamics for which the required event occurs more frequently. By keeping track of the relative weight of phase-space trajectories generated by the modified and the original dynamics one can obtain the required probabilities. The algorithm is tested on two model systems of steady-state particle and heat transport where we find a huge improvement from direct simulation methods.	en
dc.language.iso	en	en
dc.publisher	American Physical Society	en
dc.relation.uri	http://arxiv.org/abs/1003.2106	en
dc.relation.uri	http://dx.doi.org/10.1103/PhysRevE.83.031119	en
dc.relation.uri	http://adsabs.harvard.edu/abs/2011PhRvE..83c1119K	en
dc.rights	2011 American Physical Society	en
dc.title	Application of importance sampling to the computation of large deviations in nonequilibrium processes.	en
dc.type	Article	en
Appears in Collections:	Research Papers (TP)

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