Discovering novel lead-free solder alloy by multi-objective Bayesian active learning with experimental uncertainty
Abstract We present a multi-objective Bayesian active learning strategy, which greatly accelerates the discovery of super high-strength and high-ductility lead-free solder alloys. The active learning strategy demonstrates that a machine learning model will have high generalizability if experimental...
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| Autors principals: | , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Nature Portfolio
2025-01-01
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| Col·lecció: | npj Computational Materials |
| Accés en línia: | https://doi.org/10.1038/s41524-024-01480-7 |
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