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dc.contributor.authorLEE, BYEONG JOO-
dc.contributor.author왕재민-
dc.contributor.author권현석-
dc.date.accessioned2024-03-06T05:25:06Z-
dc.date.available2024-03-06T05:25:06Z-
dc.date.created2024-02-20-
dc.date.issued2023-03-19-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/121443-
dc.languageEnglish-
dc.publisherThe Minerals, Metals & Materials Society (TMS)-
dc.relation.isPartOfTMS 2023 Annual Meeting & Exhibition-
dc.titleA Neural Network Model for High Entropy Alloy Design-
dc.typeConference-
dc.type.rimsCONF-
dc.identifier.bibliographicCitationTMS 2023 Annual Meeting & Exhibition-
dc.citation.conferenceDate2023-03-19-
dc.citation.conferencePlaceUS-
dc.citation.titleTMS 2023 Annual Meeting & Exhibition-
dc.contributor.affiliatedAuthorLEE, BYEONG JOO-
dc.contributor.affiliatedAuthor왕재민-
dc.contributor.affiliatedAuthor권현석-
dc.description.journalClass1-
dc.description.journalClass1-

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이병주LEE, BYEONG JOO
Dept of Materials Science & Enginrg
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