Materials design and their synthesizability prediction using AI

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dc.contributor.author정유성ko
dc.date.accessioned2021-12-03T06:50:16Z-
dc.date.available2021-12-03T06:50:16Z-
dc.date.created2021-12-01-
dc.date.issued2021-04-30-
dc.identifier.citation2021 한국계산과학공학회 춘계학술대회 및 정기총회-
dc.identifier.urihttp://hdl.handle.net/10203/289964-
dc.languageKorean-
dc.publisher한국계산과학공학회-
dc.titleMaterials design and their synthesizability prediction using AI-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationname2021 한국계산과학공학회 춘계학술대회 및 정기총회-
dc.identifier.conferencecountryKO-
dc.identifier.conferencelocation대전시 한국과학기술정보연구원-
dc.contributor.localauthor정유성-
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CBE-Conference Papers(학술회의논문)
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