XGBoost model for the quantitative assessment of stress corrosion cracking
Abstract This study employs a data-driven methodology to assess the susceptibility of Fe-Cr-Ni alloys to stress corrosion cracking (SCC) in chloride-containing environments. Historical data from constant-load SCC testing in boiling magnesium chloride were used to train an XGBoost regression model. T...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-12-01
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| Series: | npj Materials Degradation |
| Online Access: | https://doi.org/10.1038/s41529-024-00538-7 |
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