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Lee, Jae Hwa
Flow Physics and Control Lab.
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dc.citation.conferencePlace KO -
dc.citation.title 2023년도 한국전산유체공학회 추계학술대회 -
dc.contributor.author Kim, Seong Hwan -
dc.contributor.author Lee, Jae Hwa -
dc.date.accessioned 2024-01-31T18:08:15Z -
dc.date.available 2024-01-31T18:08:15Z -
dc.date.created 2023-12-14 -
dc.date.issued 2023-10-13 -
dc.identifier.bibliographicCitation 2023년도 한국전산유체공학회 추계학술대회 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/74513 -
dc.publisher 한국전산유체공학회 -
dc.title.alternative 난류채널유동을 위한 인공신경망기반 벽모델 큰에디모사 기법 -
dc.title Artificial Neural Network-Based Wall-Modeled Large-Eddy Simulation for Turbulent Channel Flow -
dc.type Conference Paper -
dc.date.conferenceDate 2023-10-12 -

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