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암모니아/수소 연소 반응 개선 및 인공신경망의 활용
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Seong-kyun Im | - |
| dc.date.accessioned | 2022-11-19T08:41:42Z | - |
| dc.date.available | 2022-11-19T08:41:42Z | - |
| dc.date.created | 2022-11-19 | - |
| dc.date.issued | 2022-11-11 | - |
| dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/145886 | - |
| dc.publisher | 한국연소학회 | - |
| dc.title | 암모니아/수소 연소 반응 개선 및 인공신경망의 활용 | - |
| dc.title.alternative | Improving NH3/H2 reaction model and using artificial neural network | - |
| dc.type | Conference | - |
| dc.contributor.affiliatedAuthor | Seong-kyun Im | - |
| dc.identifier.bibliographicCitation | 제64회 한국연소학회 2022년도 추계 학술대회 | - |
| dc.relation.isPartOf | 제64회 한국연소학회 2022년도 추계 학술대회 | - |
| dc.relation.isPartOf | 제64회 한국연소학회 2022년도 추계 학술대회 초록집 | - |
| dc.citation.title | 제64회 한국연소학회 2022년도 추계 학술대회 | - |
| dc.citation.conferencePlace | KO | - |
| dc.citation.conferenceDate | 2022-11-10 | - |
| dc.type.rims | CONF | - |
| dc.description.journalClass | 2 | - |
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Collections - College of Engineering > Department of Mechanical Engineering > 2. Conference Papers
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