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Deep-learning-based reduced-order modeling to optimize recuperative burner operating conditions
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Yang, Mingyu | - |
| dc.contributor.author | Kim, Seongyoon | - |
| dc.contributor.author | Sun, Xiang | - |
| dc.contributor.author | Kim, Sanghyun | - |
| dc.contributor.author | Choi, Jiyong | - |
| dc.contributor.author | Park, Tae Seon | - |
| dc.contributor.author | Choi, Jung-Il | - |
| dc.date.accessioned | 2023-10-17T02:40:05Z | - |
| dc.date.available | 2023-10-17T02:40:05Z | - |
| dc.date.issued | 2024-01 | - |
| dc.identifier.issn | 1359-4311 | - |
| dc.identifier.uri | https://yscholarhub.yonsei.ac.kr/handle/2021.sw.yonsei/6723 | - |
| dc.publisher | Pergamon Press Ltd. | - |
| dc.title | Deep-learning-based reduced-order modeling to optimize recuperative burner operating conditions | - |
| dc.type | Article | - |
| dc.publisher.location | 영국 | - |
| dc.identifier.doi | 10.1016/j.applthermaleng.2023.121669 | - |
| dc.identifier.scopusid | 2-s2.0-85173155772 | - |
| dc.identifier.bibliographicCitation | Applied Thermal Engineering, v.236 | - |
| dc.citation.title | Applied Thermal Engineering | - |
| dc.citation.volume | 236 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
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Collections - College of Science > 이과대학 자연과학부 > 이과대학 수학 > 1. Journal Articles
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