DC Field | Value | Language |
---|---|---|
dc.contributor.author | Han, Woo Hyun | ko |
dc.contributor.author | Chang, Kee Joo | ko |
dc.contributor.author | Lee, In-Ho | ko |
dc.date.accessioned | 2018-01-30T03:43:21Z | - |
dc.date.available | 2018-01-30T03:43:21Z | - |
dc.date.created | 2017-12-25 | - |
dc.date.issued | 2017-07 | - |
dc.identifier.citation | NANO KOREA 2017: The 15th International Nanotech Symposium | - |
dc.identifier.uri | http://hdl.handle.net/10203/238498 | - |
dc.language | English | - |
dc.publisher | Korea Nano Technology Research Society | - |
dc.title | Construction of high-dimensional potential energy surfaces for boron using artificial neural networks | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | NANO KOREA 2017: The 15th International Nanotech Symposium | - |
dc.identifier.conferencecountry | KO | - |
dc.identifier.conferencelocation | KINTEX | - |
dc.contributor.localauthor | Chang, Kee Joo | - |
dc.contributor.nonIdAuthor | Lee, In-Ho | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.