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Nested Transition Path Sampling.

cam.issuedOnline2018-06-20
dc.contributor.authorBolhuis, Peter G
dc.contributor.authorCsányi, Gábor
dc.date.accessioned2018-09-20T12:06:23Z
dc.date.available2018-09-20T12:06:23Z
dc.date.issued2018-06-22
dc.description.abstractWe introduce a novel transition path (TPS) sampling scheme employing nested sampling. Analogous to how nested sampling explores the entire configurational phase space for atomistic systems, nested TPS samples the entire available trajectory space in one simulation. Thermodynamic and path observables can be constructed a posteriori for all temperatures simultaneously. We exploit this to compute the rate of rare processes at arbitrarily low temperature through the coupling to easily accessible rates at high temperature. We illustrate the method on several model systems.
dc.format.mediumPrint
dc.identifier.doi10.17863/CAM.27896
dc.identifier.eissn1079-7114
dc.identifier.issn0031-9007
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/280527
dc.languageeng
dc.language.isoeng
dc.publisherAmerican Physical Society (APS)
dc.publisher.urlhttp://dx.doi.org/10.1103/physrevlett.120.250601
dc.subject0801 Artificial Intelligence and Image Processing
dc.titleNested Transition Path Sampling.
dc.typeArticle
dcterms.dateAccepted2018-05-08
prism.issueIdentifier25
prism.publicationDate2018
prism.publicationNamePhys Rev Lett
prism.startingPage250601
prism.volume120
rioxxterms.licenseref.startdate2018-06
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.typeJournal Article/Review
rioxxterms.versionAM
rioxxterms.versionofrecord10.1103/PhysRevLett.120.250601

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