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dc.contributor.authorTang, Hao
dc.contributor.authorXiao, Brian
dc.contributor.authorHe, Wenhao
dc.contributor.authorSubasic, Pero
dc.contributor.authorHarutyunyan, Avetik R.
dc.contributor.authorWang, Yao
dc.contributor.authorLiu, Fang
dc.contributor.authorXu, Haowei
dc.contributor.authorLi, Ju
dc.date.accessioned2025-01-15T19:39:58Z
dc.date.available2025-01-15T19:39:58Z
dc.date.issued2024-12-27
dc.identifier.issn2662-8457
dc.identifier.urihttps://hdl.handle.net/1721.1/157988
dc.description.sponsorshipHonda Research Institute, Mathworks Engineering Fellowshipen_US
dc.publisherSpringer Science and Business Media LLCen_US
dc.relation.isversionof10.1038/s43588-024-00747-9en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceHao Tangen_US
dc.titleApproaching coupled-cluster accuracy for molecular electronic structures with multi-task learning (preprint)en_US
dc.typeArticleen_US
dc.identifier.citationTang, Hao, Xiao, Brian, He, Wenhao, Subasic, Pero, Harutyunyan, Avetik R. et al. 2024. "Approaching coupled-cluster accuracy for molecular electronic structures with multi-task learning (preprint)." Nature Computational Science.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Materials Science and Engineering
dc.contributor.departmentMassachusetts Institute of Technology. Department of Physics
dc.contributor.departmentMassachusetts Institute of Technology. Center for Computational Science and Engineering
dc.contributor.departmentMassachusetts Institute of Technology. Department of Nuclear Science and Engineering
dc.relation.journalNature Computational Scienceen_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.doihttps://doi.org/10.1038/s43588-024-00747-9
dspace.date.submission2025-01-03T19:12:02Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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