From Machine Learning Models to Universal Transfer Learning in Metal-Organic Frameworks
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kim, Jihan | ko |
| dc.date.accessioned | 2023-12-07T09:00:51Z | - |
| dc.date.available | 2023-12-07T09:00:51Z | - |
| dc.date.created | 2023-12-04 | - |
| dc.date.issued | 2023-08-17 | - |
| dc.identifier.citation | 2023 ACS Fall Meeting | - |
| dc.identifier.uri | http://hdl.handle.net/10203/315970 | - |
| dc.language | English | - |
| dc.publisher | American Chemical Society | - |
| dc.title | From Machine Learning Models to Universal Transfer Learning in Metal-Organic Frameworks | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | 2023 ACS Fall Meeting | - |
| dc.identifier.conferencecountry | US | - |
| dc.identifier.conferencelocation | San Francisco, CA | - |
| dc.contributor.localauthor | Kim, Jihan | - |
- Appears in Collection
- CBE-Conference Papers(학술회의논문)
- Files in This Item
- There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.