A machine learning microstructurally predictive framework for the failure of hydrided zirconium alloys
Crossref DOI link: https://doi.org/10.1038/s41529-023-00344-7
Published Online: 2023-03-31
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Hasan, Tamir
Capolungo, Laurent
Zikry, Mohammed http://orcid.org/0000-0001-8707-4720
Text and Data Mining valid from 2023-03-31
Version of Record valid from 2023-03-31
Article History
Received: 4 November 2022
Accepted: 15 March 2023
First Online: 31 March 2023
Competing interests
: The authors declare no competing interests.