An active machine learning approach for optimal design of magnesium alloys using Bayesian optimisation

Abstract In the pursuit of magnesium (Mg) alloys with targeted mechanical properties, a multi-objective Bayesian optimisation workflow is presented to enable optimal Mg-alloy design. A probabilistic Gaussian process regressor model was trained through an active learning loop, while balancing the exp...

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Detalles Bibliográficos

Autores principales:	M. Ghorbani, M. Boley, P. N. H. Nakashima, N. Birbilis
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Nature Portfolio 2024-04-01
Colección:	Scientific Reports
Materias:	Mg alloys Alloy design Machine learning Bayesian optimisation Sequential design strategy
Acceso en línea:	https://doi.org/10.1038/s41598-024-59100-9
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