| dc.contributor.author | Guo, Kai | |
| dc.contributor.author | Yang, Zhenze | |
| dc.contributor.author | Yu, Chi-Hua | |
| dc.contributor.author | Buehler, Markus J | |
| dc.date.accessioned | 2021-10-27T19:57:35Z | |
| dc.date.available | 2021-10-27T19:57:35Z | |
| dc.date.issued | 2021 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/134002 | |
| dc.description.abstract | <p>This review revisits the state of the art of research efforts on the design of mechanical materials using machine learning.</p> | |
| dc.language.iso | en | |
| dc.publisher | Royal Society of Chemistry (RSC) | |
| dc.relation.isversionof | 10.1039/d0mh01451f | |
| dc.rights | Creative Commons Attribution Noncommercial 3.0 unported license | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc/3.0/ | |
| dc.source | Royal Society of Chemistry (RSC) | |
| dc.title | Artificial Intelligence and Machine Learning in Design of Mechanical Materials | |
| dc.type | Article | |
| dc.contributor.department | Massachusetts Institute of Technology. Laboratory for Atomistic and Molecular Mechanics | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Materials Science and Engineering | |
| dc.contributor.department | Massachusetts Institute of Technology. Center for Computational Science and Engineering | |
| dc.relation.journal | Materials Horizons | |
| dc.eprint.version | Final published version | |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | |
| dc.date.updated | 2021-08-04T14:00:33Z | |
| dspace.orderedauthors | Guo, K; Yang, Z; Yu, C-H; Buehler, MJ | |
| dspace.date.submission | 2021-08-04T14:00:37Z | |
| mit.journal.volume | 8 | |
| mit.journal.issue | 4 | |
| mit.license | PUBLISHER_CC | |
| mit.metadata.status | Authority Work and Publication Information Needed | |
