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Zhang, Zhaosheng (2023) Automated Graph Neural Networks Accelerate the Screening of Optoelectronic Properties of Metal–Organic Frameworks. The Journal of Physical Chemistry Letters, 14 (5) 1239-1245 doi:10.1021/acs.jpclett.3c00187

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Reference TypeJournal (article/letter/editorial)
TitleAutomated Graph Neural Networks Accelerate the Screening of Optoelectronic Properties of Metal–Organic Frameworks
JournalThe Journal of Physical Chemistry Letters
AuthorsZhang, ZhaoshengAuthor
Year2023 (February 9)Volume14
Issue5
PublisherAmerican Chemical Society (ACS)
DOIdoi:10.1021/acs.jpclett.3c00187Search in ResearchGate
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Mindat Ref. ID15704468Long-form Identifiermindat:1:5:15704468:5
GUID0
Full ReferenceZhang, Zhaosheng (2023) Automated Graph Neural Networks Accelerate the Screening of Optoelectronic Properties of Metal–Organic Frameworks. The Journal of Physical Chemistry Letters, 14 (5) 1239-1245 doi:10.1021/acs.jpclett.3c00187
Plain TextZhang, Zhaosheng (2023) Automated Graph Neural Networks Accelerate the Screening of Optoelectronic Properties of Metal–Organic Frameworks. The Journal of Physical Chemistry Letters, 14 (5) 1239-1245 doi:10.1021/acs.jpclett.3c00187
In(2023, February) The Journal of Physical Chemistry Letters Vol. 14 (5) American Chemical Society (ACS)

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