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College of Engineering(공과대학)Dept. of Nuclear and Quantum Engineering(원자력및양자공학과)NE-Conference Papers(학술회의논문)

Finding New Phase Predicting Factors of High Entropy Alloys by Machine Learning

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dc.contributor.authorLee, Tae Gyuko
dc.contributor.authorRyu, Ho Jinko
dc.date.accessioned2020-01-09T01:21:11Z-
dc.date.available2020-01-09T01:21:11Z-
dc.date.created2020-01-08-
dc.date.issued2019-11-07-
dc.identifier.citationISIMP 2019-
dc.identifier.urihttp://hdl.handle.net/10203/270980-
dc.languageEnglish-
dc.publisherKPMI-
dc.titleFinding New Phase Predicting Factors of High Entropy Alloys by Machine Learning-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameISIMP 2019-
dc.identifier.conferencecountryKO-
dc.identifier.conferencelocationPhoenix Jeju-
dc.contributor.localauthorRyu, Ho Jin-
dc.contributor.nonIdAuthorLee, Tae Gyu-
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NE-Conference Papers(학술회의논문)
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