The potential of deep learning in the finite element method

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dc.contributor.authorLee, Phill-Seungko
dc.contributor.authorPark, Seunghwanko
dc.contributor.authorJung, Jaehoko
dc.date.accessioned2023-01-31T09:01:02Z-
dc.date.available2023-01-31T09:01:02Z-
dc.date.created2023-01-10-
dc.date.created2023-01-10-
dc.date.created2023-01-10-
dc.date.issued2022-08-23-
dc.identifier.citationThe Fourteenth International Conference on Computational Structures Technology-
dc.identifier.urihttp://hdl.handle.net/10203/304862-
dc.languageEnglish-
dc.publisherElsevier-
dc.titleThe potential of deep learning in the finite element method-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameThe Fourteenth International Conference on Computational Structures Technology-
dc.identifier.conferencecountryFR-
dc.identifier.conferencelocationMontpellier-
dc.contributor.localauthorLee, Phill-Seung-
dc.contributor.nonIdAuthorPark, Seunghwan-
dc.contributor.nonIdAuthorJung, Jaeho-
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ME-Conference Papers(학술회의논문)
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