Machine learning-accelerated CALPHAD analysis of impurity-driven intermetallic formation in secondary AlSi7Mg0.3
Abstract The transition from primary to secondary aluminium production offers substantial environmental benefits but introduces challenges related to impurity-induced changes in microstructure and final materials performance in mechanical integrity and corrosion resistance. This study investigates t...
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| Główni autorzy: | , , , , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Nature Portfolio
2026-03-01
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| Seria: | npj Materials Sustainability |
| Dostęp online: | https://doi.org/10.1038/s44296-026-00097-9 |
| Etykiety: |
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