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dc.contributor.authorBiswas, Sayandeep
dc.contributor.authorChung, Yunsie
dc.contributor.authorRamirez, Josephine
dc.contributor.authorWu, Haoyang
dc.contributor.authorGreen, William H.
dc.date.accessioned2023-07-28T16:05:24Z
dc.date.available2023-07-28T16:05:24Z
dc.date.issued2023-07-24
dc.identifier.issn1549-9596
dc.identifier.issn1549-960X
dc.identifier.urihttps://hdl.handle.net/1721.1/151176
dc.description.sponsorshipMachine Learning for Pharmaceutical Discovery and Synthesis Consortium, efense Advanced Research Projects Agency - Accelerated Molecular Discoveren_US
dc.publisherAmerican Chemical Society (ACS)en_US
dc.relation.isversionof10.1021/acs.jcim.3c00546en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceBiswasen_US
dc.subjectLibrary and Information Sciencesen_US
dc.subjectComputer Science Applicationsen_US
dc.subjectGeneral Chemical Engineeringen_US
dc.subjectGeneral Chemistryen_US
dc.titlePredicting Critical Properties and Acentric Factors of Fluids Using Multitask Machine Learningen_US
dc.typeArticleen_US
dc.identifier.citationBiswas, Sayandeep, Chung, Yunsie, Ramirez, Josephine, Wu, Haoyang and Green, William H. 2023. "Predicting Critical Properties and Acentric Factors of Fluids Using Multitask Machine Learning." Journal of Chemical Information and Modeling.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineeringen_US
dc.relation.journalJournal of Chemical Information and Modelingen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.identifier.doi10.1021/acs.jcim.3c00546
dspace.date.submission2023-07-26T15:07:12Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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