DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ryu, Ho Jin | - |
dc.contributor.author | Kim, Jae Joon | - |
dc.date.accessioned | 2017-01-12T09:07:59Z | - |
dc.date.available | 2017-01-12T09:07:59Z | - |
dc.date.created | 2016-12-28 | - |
dc.date.issued | 2016-10-27 | - |
dc.identifier.citation | 한국원자력학회 2016 추계학술대회 | - |
dc.identifier.uri | http://hdl.handle.net/10203/218422 | - |
dc.language | English | - |
dc.publisher | 한국원자력학회 | - |
dc.title | Development of Refractory High Entropy Alloy by using Artificial Neural Network | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | 한국원자력학회 2016 추계학술대회 | - |
dc.identifier.conferencecountry | KO | - |
dc.identifier.conferencelocation | 경주화백컨벤션센터 | - |
dc.contributor.localauthor | Ryu, Ho Jin | - |
dc.contributor.nonIdAuthor | Kim, Jae Joon | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.