| dc.contributor.author | Haghighat, Ehsan | |
| dc.contributor.author | Amini, Danial | |
| dc.contributor.author | Juanes, Ruben | |
| dc.date.accessioned | 2023-03-16T18:24:27Z | |
| dc.date.available | 2023-03-16T18:24:27Z | |
| dc.date.issued | 2022 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/148585 | |
| dc.language.iso | en | |
| dc.publisher | Elsevier BV | en_US |
| dc.relation.isversionof | 10.1016/J.CMA.2022.115141 | en_US |
| dc.rights | Creative Commons Attribution-NonCommercial-NoDerivs License | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
| dc.source | arXiv | en_US |
| dc.title | Physics-informed neural network simulation of multiphase poroelasticity using stress-split sequential training | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Haghighat, Ehsan, Amini, Danial and Juanes, Ruben. 2022. "Physics-informed neural network simulation of multiphase poroelasticity using stress-split sequential training." Computer Methods in Applied Mechanics and Engineering, 397. | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering | en_US |
| dc.relation.journal | Computer Methods in Applied Mechanics and Engineering | en_US |
| dc.eprint.version | Original manuscript | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dc.date.updated | 2023-03-16T18:16:53Z | |
| dspace.orderedauthors | Haghighat, E; Amini, D; Juanes, R | en_US |
| dspace.date.submission | 2023-03-16T18:16:59Z | |
| mit.journal.volume | 397 | en_US |
| mit.license | PUBLISHER_CC | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
