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Data for "Optimal sampling of dynamical large deviations in two dimensions via tensor networks" by L. Causer, M.C. Banuls and J.P. Garrahan

dc.contributor.authorCauser, Luke
dc.contributor.otherGarrahan, Juan P.
dc.date.accessioned2022-09-15T11:01:08Z
dc.date.available2022-09-15T11:01:08Z
dc.date.issued2022-09-15
dc.identifier.urihttps://rdmc.nottingham.ac.uk/handle/internal/9559
dc.description.abstractContains the data used in the figures in the paper "Optimal sampling of dynamical large deviations in two dimensions via tensor networks" by L. Causer, M.C. Banuls and J.P. Garrahan. Also contains movies which show trajectories from the monte carlo algorithm created in these works.en_UK
dc.language.isoenen_UK
dc.publisherThe University of Nottinghamen_UK
dc.rightsCC-BY*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subject.lcshLarge deviationsen_UK
dc.subject.lcshSampling (Statistics)en_UK
dc.titleData for "Optimal sampling of dynamical large deviations in two dimensions via tensor networks" by L. Causer, M.C. Banuls and J.P. Garrahanen_UK
dc.typeDataset
dc.identifier.doihttp://doi.org/10.17639/nott.7238
dc.subject.freelarge deviations, optimal sampling, two dimensionsen_UK
dc.subject.jacsMathematical Sciences::Statistics::Stochastic processesen_UK
dc.subject.lcQ Science::QA Mathematics::QA273 Probabilitiesen_UK
uon.divisionUniversity of Nottingham, UK Campus::Faculty of Science::School of Physics and Astronomyen_UK
uon.funder.controlledEngineering & Physical Sciences Research Councilen_UK
uon.datatypeCSV, GIFen_UK
uon.collectionmethodNumerical simulationen_UK
uon.institutes-centresUniversity of Nottingham, UK Campusen_UK
uon.preservation.rarelyaccessedtrue


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