Data-Driven Exploration of Sc-Induced mechanical enhancement in Al-Cu-Li alloys
A data-driven strategy was developed to identify microalloying elements that simultaneously enhance the yield strength, elongation, and elastic modulus of Al-Cu-Li alloys. Among 71 T6-tempered compositions, Sc was identified as the most promising element based on machine learning and principal compo...
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| Autori principali: | , , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Elsevier
2025-12-01
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| Serie: | Materials & Design |
| Soggetti: | |
| Accesso online: | http://www.sciencedirect.com/science/article/pii/S0264127525015370 |
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