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Shen, Yi, Zhu, Shuze (2023) Machine learning mechanical properties of defect-engineered hexagonal boron nitride. Computational Materials Science, 220. 112030 doi:10.1016/j.commatsci.2023.112030

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Reference TypeJournal (article/letter/editorial)
TitleMachine learning mechanical properties of defect-engineered hexagonal boron nitride
JournalComputational Materials Science
AuthorsShen, YiAuthor
Zhu, ShuzeAuthor
Year2023 (March)Volume220
PublisherElsevier BV
DOIdoi:10.1016/j.commatsci.2023.112030Search in ResearchGate
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Mindat Ref. ID15721868Long-form Identifiermindat:1:5:15721868:0
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Full ReferenceShen, Yi, Zhu, Shuze (2023) Machine learning mechanical properties of defect-engineered hexagonal boron nitride. Computational Materials Science, 220. 112030 doi:10.1016/j.commatsci.2023.112030
Plain TextShen, Yi, Zhu, Shuze (2023) Machine learning mechanical properties of defect-engineered hexagonal boron nitride. Computational Materials Science, 220. 112030 doi:10.1016/j.commatsci.2023.112030
In(2023) Computational Materials Science Vol. 220. Elsevier BV

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