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Long, Yang, Zhang, Baile (2023) Unsupervised Data-Driven Classification of Topological Gapped Systems with Symmetries. Physical Review Letters, 130 (3) doi:10.1103/physrevlett.130.036601

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Reference TypeJournal (article/letter/editorial)
TitleUnsupervised Data-Driven Classification of Topological Gapped Systems with Symmetries
JournalPhysical Review Letters
AuthorsLong, YangAuthor
Zhang, BaileAuthor
Year2023 (January 18)Volume130
Issue3
PublisherAmerican Physical Society (APS)
DOIdoi:10.1103/physrevlett.130.036601Search in ResearchGate
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Mindat Ref. ID15673514Long-form Identifiermindat:1:5:15673514:0
GUID0
Full ReferenceLong, Yang, Zhang, Baile (2023) Unsupervised Data-Driven Classification of Topological Gapped Systems with Symmetries. Physical Review Letters, 130 (3) doi:10.1103/physrevlett.130.036601
Plain TextLong, Yang, Zhang, Baile (2023) Unsupervised Data-Driven Classification of Topological Gapped Systems with Symmetries. Physical Review Letters, 130 (3) doi:10.1103/physrevlett.130.036601
In(2023, January) Physical Review Letters Vol. 130 (3) American Physical Society (APS)

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