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Khan, Asad, Tayara, Hilal, Chong, Kil To (2023) Prediction of organic material band gaps using graph attention network. Computational Materials Science, 220. 112063 doi:10.1016/j.commatsci.2023.112063

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Reference TypeJournal (article/letter/editorial)
TitlePrediction of organic material band gaps using graph attention network
JournalComputational Materials Science
AuthorsKhan, AsadAuthor
Tayara, HilalAuthor
Chong, Kil ToAuthor
Year2023 (March)Volume220
PublisherElsevier BV
DOIdoi:10.1016/j.commatsci.2023.112063Search in ResearchGate
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Mindat Ref. ID15695768Long-form Identifiermindat:1:5:15695768:9
GUID0
Full ReferenceKhan, Asad, Tayara, Hilal, Chong, Kil To (2023) Prediction of organic material band gaps using graph attention network. Computational Materials Science, 220. 112063 doi:10.1016/j.commatsci.2023.112063
Plain TextKhan, Asad, Tayara, Hilal, Chong, Kil To (2023) Prediction of organic material band gaps using graph attention network. Computational Materials Science, 220. 112063 doi:10.1016/j.commatsci.2023.112063
In(2023) Computational Materials Science Vol. 220. Elsevier BV

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Mir, Bilal Ahmad, Tayara, Hilal, Chong, Kil To (2024) SB-Net: Synergizing CNN and LSTM networks for uncovering retrosynthetic pathways in organic synthesis. Computational Biology and Chemistry, 112. 108130 doi:10.1016/j.compbiolchem.2024.108130
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