DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Phill-Seung | ko |
dc.contributor.author | Park, Seunghwan | ko |
dc.contributor.author | Jung, Jaeho | ko |
dc.date.accessioned | 2023-01-31T09:01:02Z | - |
dc.date.available | 2023-01-31T09:01:02Z | - |
dc.date.created | 2023-01-10 | - |
dc.date.created | 2023-01-10 | - |
dc.date.created | 2023-01-10 | - |
dc.date.issued | 2022-08-23 | - |
dc.identifier.citation | The Fourteenth International Conference on Computational Structures Technology | - |
dc.identifier.uri | http://hdl.handle.net/10203/304862 | - |
dc.language | English | - |
dc.publisher | Elsevier | - |
dc.title | The potential of deep learning in the finite element method | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | The Fourteenth International Conference on Computational Structures Technology | - |
dc.identifier.conferencecountry | FR | - |
dc.identifier.conferencelocation | Montpellier | - |
dc.contributor.localauthor | Lee, Phill-Seung | - |
dc.contributor.nonIdAuthor | Park, Seunghwan | - |
dc.contributor.nonIdAuthor | Jung, Jaeho | - |
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