A machine learning microstructurally predictive framework for the failure of hydrided zirconium alloys
Abstract Hydride precipitation within zirconium alloys affects ductility and fracture behavior. The complex distribution of hydrides and their interaction with defects, such as dislocations, have a significant role in crack nucleation and failure. Hence, there is substantial variability in the micro...
Main Authors: | Tamir Hasan, Laurent Capolungo, Mohammed Zikry |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-03-01
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Series: | npj Materials Degradation |
Online Access: | https://doi.org/10.1038/s41529-023-00344-7 |
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