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Deep learning optical spectroscopy based on experimental database: Potential application to the development of optimal chromophores and fluorophores
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Sungnam Park | - |
| dc.date.accessioned | 2021-12-03T22:47:08Z | - |
| dc.date.available | 2021-12-03T22:47:08Z | - |
| dc.date.created | 2021-11-25 | - |
| dc.date.issued | 2021-10-26 | - |
| dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/129232 | - |
| dc.publisher | 한국계산과학공학회 | - |
| dc.title | Deep learning optical spectroscopy based on experimental database: Potential application to the development of optimal chromophores and fluorophores | - |
| dc.title.alternative | Deep learning optical spectroscopy based on experimental database: Potential application to the development of optimal chromophores and fluorophores | - |
| dc.type | Conference | - |
| dc.contributor.affiliatedAuthor | Sungnam Park | - |
| dc.identifier.bibliographicCitation | 2021년 한국계산과학공학회 추계학술대회 및 총회 | - |
| dc.relation.isPartOf | 2021년 한국계산과학공학회 추계학술대회 및 총회 | - |
| dc.relation.isPartOf | 2021년 한국계산과학공학회 추계학술대회 초록집 | - |
| dc.citation.title | 2021년 한국계산과학공학회 추계학술대회 및 총회 | - |
| dc.citation.conferencePlace | KO | - |
| dc.citation.conferenceDate | 2021-10-26 | - |
| dc.type.rims | CONF | - |
| dc.description.journalClass | 2 | - |
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