Machine learning to explore solid-state chemical space
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Jung, Yousung | ko |
| dc.date.accessioned | 2020-10-21T07:56:48Z | - |
| dc.date.available | 2020-10-21T07:56:48Z | - |
| dc.date.created | 2020-07-28 | - |
| dc.date.issued | 2020-01-28 | - |
| dc.identifier.citation | Toward Inverse Design of Functional Inorganic Materials | - |
| dc.identifier.uri | http://hdl.handle.net/10203/276834 | - |
| dc.language | English | - |
| dc.publisher | Materials Research and Engineering (IMRE) | - |
| dc.title | Machine learning to explore solid-state chemical space | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | Toward Inverse Design of Functional Inorganic Materials | - |
| dc.identifier.conferencecountry | SI | - |
| dc.identifier.conferencelocation | Seminar Room 2 (MD1-08-03E), NUS | - |
| dc.contributor.localauthor | Jung, Yousung | - |
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