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dc.contributor.authorBarth, Eric J.
dc.contributor.authorLaird, Brian Bostian
dc.contributor.authorLeimkuhler, Benedict J.
dc.date.accessioned2014-12-17T14:53:38Z
dc.date.available2014-12-17T14:53:38Z
dc.date.issued2003-03-18
dc.identifier.citationBarth, Eric J.; Laird, Brian Bostian; Leimkuhler, Benedict J. (2003). "Generating generalized distributions from dynamical simulation." The Journal of Chemical Physics, 118(13):5759. http://dx.doi.org/10.1063/1.1557413.
dc.identifier.issn0021-9606
dc.identifier.urihttp://hdl.handle.net/1808/16138
dc.descriptionThis is the publisher's version, also available electronically from http://scitation.aip.org/content/aip/journal/jcp/118/13/10.1063/1.1557413.
dc.description.abstractWe present a general molecular-dynamics simulation scheme, based on the Nosé thermostat, for sampling from arbitrary phase space distributions. We formulate numerical methods based on both Nosé–Hoover and Nosé–Poincaré thermostats for two specific classes of distributions; namely, those that are functions of the system Hamiltonian and those for which position and momentum are statistically independent. As an example, we propose a generalized variable temperature distribution that is designed to accelerate sampling in molecular systems.
dc.publisherAmerican Institute of Physics
dc.titleGenerating generalized distributions from dynamical simulation
dc.typeArticle
kusw.kuauthorLaird, Brian Bostian
kusw.kudepartmentChemistry
dc.identifier.doi10.1063/1.1557413
kusw.oaversionScholarly/refereed, publisher version
kusw.oapolicyThis item does not meet KU Open Access policy criteria.
dc.rights.accessrightsopenAccess


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