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DeepSAT: Learning Molecular Structures from Nuclear Magnetic Resonance Spectroscopy
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 김현우 | - |
| dc.date.accessioned | 2023-05-11T09:41:18Z | - |
| dc.date.available | 2023-05-11T09:41:18Z | - |
| dc.date.issued | 2022-07-26 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/11402 | - |
| dc.title | DeepSAT: Learning Molecular Structures from Nuclear Magnetic Resonance Spectroscopy | - |
| dc.type | Conference | - |
| dc.citation.conferenceName | 2022 ASP ANNUAL MEETING - Natural Product Solutions to Global Challenges | - |
| dc.citation.conferencePlace | 미국 | - |
| dc.citation.conferencePlace | Embassy Suites by Hilton Charleston Airport Hotel & Convention Center | - |
| dc.citation.conferenceDate | 2022-07-23 ~ 2022-07-28 | - |
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Related Researcher
- Kim, Hyun Woo
- College of Pharmacy (Department of Pharmacy)