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dc.contributor.authorLee, Kin Long Kelvin
dc.contributor.authorPatterson, Jacqueline
dc.contributor.authorBurkhardt, Andrew M.
dc.contributor.authorVankayalapati, Vivek
dc.contributor.authorMcCarthy, Michael C.
dc.contributor.authorMcGuire, Brett A.
dc.date.accessioned2022-06-07T13:02:48Z
dc.date.available2022-03-10T15:29:23Z
dc.date.available2022-06-07T13:02:48Z
dc.date.issued2021-08
dc.date.submitted2021-07
dc.identifier.issn2041-8205
dc.identifier.issn2041-8213
dc.identifier.urihttps://hdl.handle.net/1721.1/141111.2
dc.language.isoen
dc.publisherAmerican Astronomical Societyen_US
dc.relation.isversionofhttp://dx.doi.org/10.3847/2041-8213/ac194ben_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceThe American Astronomical Societyen_US
dc.titleMachine Learning of Interstellar Chemical Inventoriesen_US
dc.typeArticleen_US
dc.identifier.citationLee, Kin Long Kelvin, Patterson, Jacqueline, Burkhardt, Andrew M, Vankayalapati, Vivek, McCarthy, Michael C et al. 2021. "Machine Learning of Interstellar Chemical Inventories." The Astrophysical Journal Letters, 917 (1).en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemistry
dc.relation.journalThe Astrophysical Journal Lettersen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2022-03-10T15:26:11Z
dspace.orderedauthorsLee, KLK; Patterson, J; Burkhardt, AM; Vankayalapati, V; McCarthy, MC; McGuire, BAen_US
dspace.date.submission2022-03-10T15:26:14Z
mit.journal.volume917en_US
mit.journal.issue1en_US
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work Neededen_US


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