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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp019g54xm81w
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dc.contributorGhosh, Raja-
dc.contributorPanagiotopoulos, Athanassios-
dc.contributorPaesani, Francesco-
dc.contributor.authorYue, Shuwen-
dc.contributor.authorRiera, Marc-
dc.date.accessioned2022-03-30T13:18:53Z-
dc.date.available2022-03-30T13:18:53Z-
dc.date.created2022-03-17-
dc.date.issued2022-03-30-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/dsp019g54xm81w-
dc.identifier.urihttps://doi.org/10.34770/1yv3-0a21-
dc.identifier.urihttps://app.globus.org/file-manager?origin_id=dc43f461-0ca7-4203-848c-33a9fc00a464&origin_path=%2F1yv3-0a21%2F-
dc.descriptionThis dataset is too large to download directly from this item page. You can access and download the data via Globus at this link: https://app.globus.org/file-manager?origin_id=dc43f461-0ca7-4203-848c-33a9fc00a464&origin_path=%2F1yv3-0a21%2F (See https://docs.globus.org/how-to/get-started/ for instructions on how to use Globus; sign-in is required).en_US
dc.description.abstractThis dataset comprises of data associated with the publication "Transferability of data-driven, many-body models for CO2 simulations in the vapor and liquid phases", which can be found at https://doi.org/10.1063/5.0080061. The data includes calculations for a Many-Body decomposition, virial coefficient calculations, orientational molecular scan energies, potential energy fields, correlation plots of training and testing data, vapor-liquid equilibrium simulations, liquid density simulations, and solid cell simulations.en_US
dc.description.sponsorshipThe work of S.Y. and A.Z.P. was supported as a part of the Computational Chemical Sciences Program funded by the U.S. Department of Energy, Office of Science, Basic Energy Sciences, under Award No. DE-SC0002128, and Chemistry in Solution and at Interfaces (CSI) Center, Award No. DE-SC0019394. M.R., R.G., and F.P. were supported by the U.S. Department of Energy through Award No. DE-SC0019490. Computing resources were provided by the Princeton Institute for Computational Science and Engi- neering, the National Energy Research Scientific Computing Center (NERSC), which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231, and the Triton Shared Computing Cluster (TSCC) at the San Diego Supercomputer Center (SDSC).en_US
dc.description.tableofcontentsMBco2README.txt (navigate to the Globus endpoint for all other files)en_US
dc.language.isoen_USen_US
dc.publisherPrinceton Universityen_US
dc.relation.isreferencedbyhttps://doi.org/10.1063/5.0080061en_US
dc.rightsEvery file containing Python or C++ source code is licensed as software. See LICENSE.txt for details. All other files are under CC0 1.0 Universal - no rights reserved (https://creativecommons.org/publicdomain/zero/1.0/).en_US
dc.subjectCO2en_US
dc.subjectdata-driven modelsen_US
dc.subjectthermodynamic propertiesen_US
dc.subjectliquid phaseen_US
dc.subjectvapor-liquid equilibriumen_US
dc.subjectgas phaseen_US
dc.titleData from "Transferability of data-driven, many-body models for CO2 simulations in the vapor and liquid phases"en_US
dc.typeDataseten_US
Appears in Collections:Research Data Sets

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