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Authordc.contributor.authorCofre-Martel S., Droguett E.L., Modarres M.
Admission datedc.date.accessioned2022-12-27T15:48:14Z
Available datedc.date.available2022-12-27T15:48:14Z
Publication datedc.date.issued2020
Identifierdc.identifier.other10.3850/978-981-14-8593-0_4973-cd
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/191190
Lenguagedc.language.isoen
Publisherdc.publisherResearch Publishing, Singapore
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
Link to Licensedc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
Sourcedc.sourceProceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference
Títulodc.titleA physics-informed deep learning approach for fatigue crack propagation
Document typedc.typeArtículo de revista
Catalogueruchile.catalogadorSCOPUS
Indexationuchile.indexArtículo de publicación ISI
Indexationuchile.indexArtículo de publicación SCOPUS
Indexationuchile.indexArtículo de publicación SCIELO
uchile.cosechauchile.cosechaSI


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Attribution-NonCommercial-NoDerivs 3.0 Chile
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Chile