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dc.contributor.authorvan Erp, Titus Sebastiaan
dc.date.accessioned2024-02-07T09:08:36Z
dc.date.available2024-02-07T09:08:36Z
dc.date.created2023-08-24T09:17:03Z
dc.date.issued2023
dc.identifier.citationEurophysics letters. 2023, 143 (3), .en_US
dc.identifier.issn0295-5075
dc.identifier.urihttps://hdl.handle.net/11250/3116078
dc.description.abstractMolecular dynamics (MD) and Monte Carlo (MC) have long coexisted as two main independent branches of molecular simulation. In the late eighties, however, algorithms based on the combination of both were created such as hybrid Monte Carlo which uses large MD steps as MC moves. An entirely different kind of combination emerged a decade later via the transition path sampling (TPS) method in which MD trajectories are not just part of the MC move, but also form the state space being sampled. Algorithms like replica exchange transition interface sampling (RETIS) exploit this idea to compute reaction rates via a series of TPS simulations. RETIS yields results identical to hypothetical long MD runs, but with exponentially reduced computation time. This perspective describes the RETIS method and discusses recent and future advancements that will enable the study of even longer molecular timescales with reasonable computational resources.en_US
dc.language.isoengen_US
dc.publisherIOPen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleHow far can we stretch the timescale with RETIS?en_US
dc.title.alternativeHow far can we stretch the timescale with RETIS?en_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber0en_US
dc.source.volume143en_US
dc.source.journalEurophysics lettersen_US
dc.source.issue3en_US
dc.identifier.doi10.1209/0295-5075/ace9f6
dc.identifier.cristin2169200
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1


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