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Reliable prediction of the optical properties of organic chromophores in solution by deep learning
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Sungnam Park | - |
| dc.date.accessioned | 2022-01-01T05:41:39Z | - |
| dc.date.available | 2022-01-01T05:41:39Z | - |
| dc.date.created | 2022-01-01 | - |
| dc.date.issued | 2021-12-18 | - |
| dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/133945 | - |
| dc.publisher | The Chemical Society of Japan | - |
| dc.title | Reliable prediction of the optical properties of organic chromophores in solution by deep learning | - |
| dc.title.alternative | Reliable prediction of the optical properties of organic chromophores in solution by deep learning | - |
| dc.type | Conference | - |
| dc.contributor.affiliatedAuthor | Sungnam Park | - |
| dc.identifier.bibliographicCitation | Pacifichem 2021 | - |
| dc.relation.isPartOf | Pacifichem 2021 | - |
| dc.relation.isPartOf | Pacifichem Program Book | - |
| dc.citation.title | Pacifichem 2021 | - |
| dc.citation.conferencePlace | US | - |
| dc.citation.conferenceDate | 2021-12-16 | - |
| dc.type.rims | CONF | - |
| dc.description.journalClass | 1 | - |
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