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dc.contributor.authorDONG, HWAN YANG-
dc.contributor.authorODONGO, FRANCIS NGOME OKELLO-
dc.contributor.authorGO, KYOUNGJUNE-
dc.contributor.author추유성-
dc.contributor.author한중훈-
dc.contributor.author양세정-
dc.contributor.authorCHOI, SI YOUNG-
dc.date.accessioned2022-03-04T07:43:10Z-
dc.date.available2022-03-04T07:43:10Z-
dc.date.created2022-03-04-
dc.date.issued2021-11-11-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/110434-
dc.languageEnglish-
dc.publisherThe Korean Institute of Electrical and Electronic Material Engineers, 한국전기전자재료학회-
dc.relation.isPartOfThe 6th International Conference on Advanced Electromaterials(ICAE 2021)-
dc.titleDeep learning investigated identification of point defects in monolayer 2H-MoTe2-
dc.typeConference-
dc.type.rimsCONF-
dc.identifier.bibliographicCitationThe 6th International Conference on Advanced Electromaterials(ICAE 2021)-
dc.citation.conferenceDate2021-11-09-
dc.citation.conferencePlaceKO-
dc.citation.titleThe 6th International Conference on Advanced Electromaterials(ICAE 2021)-
dc.contributor.affiliatedAuthorDONG, HWAN YANG-
dc.contributor.affiliatedAuthorODONGO, FRANCIS NGOME OKELLO-
dc.contributor.affiliatedAuthorGO, KYOUNGJUNE-
dc.contributor.affiliatedAuthorCHOI, SI YOUNG-
dc.description.journalClass1-
dc.description.journalClass1-

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