| dc.contributor.author | Kim, So Yeon | |
| dc.contributor.author | Li, Ju | |
| dc.date.accessioned | 2021-10-27T19:51:44Z | |
| dc.date.available | 2021-10-27T19:51:44Z | |
| dc.date.issued | 2021 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/133243 | |
| dc.language.iso | en | |
| dc.publisher | Elsevier BV | en_US |
| dc.relation.isversionof | 10.1016/J.JMAT.2021.03.014 | en_US |
| dc.rights | Creative Commons Attribution 4.0 International license | en_US |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
| dc.source | Elsevier | en_US |
| dc.title | Machine learning of metal-ceramic wettability | en_US |
| dc.type | Article | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Materials Science and Engineering | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Nuclear Science and Engineering | |
| dc.relation.journal | Journal of Materiomics | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dc.date.updated | 2021-08-12T17:43:37Z | |
| dspace.orderedauthors | Kim, SY; Li, J | en_US |
| dspace.date.submission | 2021-08-12T17:43:38Z | |
| mit.license | PUBLISHER_CC | |
| mit.metadata.status | Authority Work and Publication Information Needed | |
