Neural network based surrogate solver for the prediction of adjoint-gradients
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 박채진 | ko |
| dc.contributor.author | 장민석 | ko |
| dc.contributor.author | 김산문 | ko |
| dc.contributor.author | 박주호 | ko |
| dc.date.accessioned | 2022-11-24T09:05:11Z | - |
| dc.date.available | 2022-11-24T09:05:11Z | - |
| dc.date.created | 2022-11-24 | - |
| dc.date.created | 2022-11-24 | - |
| dc.date.issued | 2022-05-03 | - |
| dc.identifier.citation | 제21회 첨단레이저 및 레이저 응용 워크샵 (ALTA - 2022) | - |
| dc.identifier.uri | http://hdl.handle.net/10203/300872 | - |
| dc.language | English | - |
| dc.publisher | 한국광학회 | - |
| dc.title | Neural network based surrogate solver for the prediction of adjoint-gradients | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | 제21회 첨단레이저 및 레이저 응용 워크샵 (ALTA - 2022) | - |
| dc.identifier.conferencecountry | KO | - |
| dc.identifier.conferencelocation | 제주 KAL호텔 | - |
| dc.contributor.localauthor | 장민석 | - |
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