File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher

이재화

Lee, Jae Hwa
Flow Physics and Control Lab.
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Full metadata record

DC Field Value Language
dc.citation.conferencePlace KO -
dc.citation.title 2021 한국전산유체공학회 춘계학술대회 -
dc.contributor.author Lee, Young Mo -
dc.contributor.author Lee, Jungil -
dc.contributor.author Lee, Jae Hwa -
dc.date.accessioned 2024-01-31T22:06:22Z -
dc.date.available 2024-01-31T22:06:22Z -
dc.date.created 2021-12-28 -
dc.date.issued 2021-05-06 -
dc.identifier.bibliographicCitation 2021 한국전산유체공학회 춘계학술대회 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/77456 -
dc.publisher 한국전산유체공학회 -
dc.title Artificial Neural Networks-Based Wall-Model for Large-Eddy Simulations of Turbulent Channel and Separated Boundary Layer Flows -
dc.type Conference Paper -
dc.date.conferenceDate 2021-05-06 -

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.