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

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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Bibliographic Details
Main Authors: M. Ghorbani, M. Boley, P. N. H. Nakashima, N. Birbilis
Format: Article
Language:English
Published: Nature Portfolio 2024-04-01
Series:Scientific Reports
Subjects:
Mg alloys
Alloy design
Machine learning
Bayesian optimisation
Sequential design strategy
Online Access:https://doi.org/10.1038/s41598-024-59100-9

Internet

https://doi.org/10.1038/s41598-024-59100-9

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