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Designing metallic glasses in silico is a major challenge in materials science given their disordered atomic structure and the vast compositional space to explore.
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2017
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2018
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2022
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2022
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2023
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2023
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2023
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2023
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2023
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2023
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2023
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S. Sohrabi, J. Fu, L. Li, Y. Zhang, X. Li, F. Sun, J. Ma, and W. H. Wang, “Manufacturing of metallic glass components: Processes, structures and properties,” Progress in Materials Science , 101283 (2024)
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Y. Douest, R. M. Forrest, B. Ter-Ovanessian, N. Courtois, F. Tancret, A. L. Greer, J. Chevalier, and D. Fabrègue, “Machine learning-guided exploration and experimental assessment of unreported compositions in the quaternary Ti-Zr-Cu-Pd biocompatible metallic glass system,” Acta Biomaterialia 175
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V. Torsti, T. Mäkinen, S. Bonfanti, J. Koivisto, and M. J. Alava, “Improving the mechanical properties of Cantor-like alloys with Bayesian optimization,” APL Machine Learning 2
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D. Kurunczi-Papp and L. Laurson, “Bayesian Optimization of 7-component (AlVCrFeCoNiMo) single crystal alloy’s compositional space to optimize elasto-plastic properties from Molecular Dynamics Simulations,” Research Square preprint:10.21203/rs.3.rs-4678004 (2024)
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