A Study of Computational Fluid Dynamics Subcooled Boiling Constitutive Relations Improvement Using Machine Learning Technique
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 이소영 | ko |
| dc.contributor.author | 신성길 | ko |
| dc.contributor.author | 이정익 | ko |
| dc.date.accessioned | 2022-01-07T06:40:59Z | - |
| dc.date.available | 2022-01-07T06:40:59Z | - |
| dc.date.created | 2022-01-06 | - |
| dc.date.issued | 2021-12-03 | - |
| dc.identifier.citation | 2021 한국유체기계학회 동계 학술대회 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/291642 | - |
| dc.language | Korean | - |
| dc.publisher | 한국유체기계학회 | - |
| dc.title | A Study of Computational Fluid Dynamics Subcooled Boiling Constitutive Relations Improvement Using Machine Learning Technique | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | 2021 한국유체기계학회 동계 학술대회 | - |
| dc.identifier.conferencecountry | KO | - |
| dc.identifier.conferencelocation | 제주도 오리엔탈호텔 | - |
| dc.contributor.localauthor | 이정익 | - |
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