Construction of high-dimensional potential energy surfaces for boron using artificial neural networks

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dc.contributor.authorHan, Woo Hyunko
dc.contributor.authorChang, Kee Jooko
dc.contributor.authorLee, In-Hoko
dc.date.accessioned2018-01-30T03:43:21Z-
dc.date.available2018-01-30T03:43:21Z-
dc.date.created2017-12-25-
dc.date.issued2017-07-
dc.identifier.citationNANO KOREA 2017: The 15th International Nanotech Symposium-
dc.identifier.urihttp://hdl.handle.net/10203/238498-
dc.languageEnglish-
dc.publisherKorea Nano Technology Research Society-
dc.titleConstruction of high-dimensional potential energy surfaces for boron using artificial neural networks-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameNANO KOREA 2017: The 15th International Nanotech Symposium-
dc.identifier.conferencecountryKO-
dc.identifier.conferencelocationKINTEX-
dc.contributor.localauthorChang, Kee Joo-
dc.contributor.nonIdAuthorLee, In-Ho-
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PH-Conference Papers(학술회의논문)
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