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Geer, Lewis Y., Stein, Stephen E., Mallard, William Gary, Slotta, Douglas J. (2024) AIRI: Predicting Retention Indices and Their Uncertainties Using Artificial Intelligence. Journal of Chemical Information and Modeling, 64 (3) 690-696 doi:10.1021/acs.jcim.3c01758

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Reference TypeJournal (article/letter/editorial)
TitleAIRI: Predicting Retention Indices and Their Uncertainties Using Artificial Intelligence
JournalJournal of Chemical Information and Modeling
AuthorsGeer, Lewis Y.Author
Stein, Stephen E.Author
Mallard, William GaryAuthor
Slotta, Douglas J.Author
Year2024 (February 12)Volume64
Issue3
PublisherAmerican Chemical Society (ACS)
DOIdoi:10.1021/acs.jcim.3c01758Search in ResearchGate
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Mindat Ref. ID17156784Long-form Identifiermindat:1:5:17156784:9
GUID0
Full ReferenceGeer, Lewis Y., Stein, Stephen E., Mallard, William Gary, Slotta, Douglas J. (2024) AIRI: Predicting Retention Indices and Their Uncertainties Using Artificial Intelligence. Journal of Chemical Information and Modeling, 64 (3) 690-696 doi:10.1021/acs.jcim.3c01758
Plain TextGeer, Lewis Y., Stein, Stephen E., Mallard, William Gary, Slotta, Douglas J. (2024) AIRI: Predicting Retention Indices and Their Uncertainties Using Artificial Intelligence. Journal of Chemical Information and Modeling, 64 (3) 690-696 doi:10.1021/acs.jcim.3c01758
In(2024, February) Journal of Chemical Information and Modeling Vol. 64 (3) American Chemical Society (ACS)

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