High-dimensional artificial neural network potentials for boron and its application to searching for new structures

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dc.contributor.authorHan, Woo Hyunko
dc.contributor.authorChang, Kee Jooko
dc.contributor.authorLee, In-Hoko
dc.date.accessioned2018-01-30T03:52:42Z-
dc.date.available2018-01-30T03:52:42Z-
dc.date.created2017-12-25-
dc.date.issued2017-03-
dc.identifier.citationAPS March meeting 2017-
dc.identifier.urihttp://hdl.handle.net/10203/238621-
dc.languageEnglish-
dc.publisherAmerican Physics Society-
dc.titleHigh-dimensional artificial neural network potentials for boron and its application to searching for new structures-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameAPS March meeting 2017-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationErnest Morial Convention Center New Orleans, LA-
dc.contributor.localauthorChang, Kee Joo-
dc.contributor.nonIdAuthorLee, In-Ho-
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PH-Conference Papers(학술회의논문)
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