DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Ho Jun | ko |
dc.contributor.author | Park, Steve | ko |
dc.date.accessioned | 2021-03-02T07:30:19Z | - |
dc.date.available | 2021-03-02T07:30:19Z | - |
dc.date.created | 2020-12-04 | - |
dc.date.issued | 2019-08-27 | - |
dc.identifier.citation | KJF-ICOMEP 2019 | - |
dc.identifier.uri | http://hdl.handle.net/10203/281102 | - |
dc.publisher | The Polymer Society of Korea | - |
dc.title | Theory and data driven machine-learning system for predicting the optimal performance of organic thin-film transistors | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | KJF-ICOMEP 2019 | - |
dc.identifier.conferencecountry | KO | - |
dc.identifier.conferencelocation | Jeju Maison Glad Hotel | - |
dc.contributor.localauthor | Park, Steve | - |
dc.contributor.nonIdAuthor | Lee, Ho Jun | - |
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