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Author | dc.contributor.author | Cofre-Martel S., Droguett E.L., Modarres M. | |
Admission date | dc.date.accessioned | 2022-12-27T15:48:14Z | |
Available date | dc.date.available | 2022-12-27T15:48:14Z | |
Publication date | dc.date.issued | 2020 | |
Identifier | dc.identifier.other | 10.3850/978-981-14-8593-0_4973-cd | |
Identifier | dc.identifier.uri | https://repositorio.uchile.cl/handle/2250/191190 | |
Lenguage | dc.language.iso | en | |
Publisher | dc.publisher | Research Publishing, Singapore | |
Type of license | dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Chile | |
Link to License | dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/cl/ | |
Source | dc.source | Proceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference | |
Título | dc.title | A physics-informed deep learning approach for fatigue crack propagation | |
Document type | dc.type | Artículo de revista | |
Cataloguer | uchile.catalogador | SCOPUS | |
Indexation | uchile.index | Artículo de publicación ISI | |
Indexation | uchile.index | Artículo de publicación SCOPUS | |
Indexation | uchile.index | Artículo de publicación SCIELO | |
uchile.cosecha | uchile.cosecha | SI | |
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Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Chile