Skunkworkers have helped contribute to a new work using machine learning to predict how to make better metallic glasses. See paper here.
Afflerbach, Benjamin T., Carter Francis, Lane E. Schultz, Janine Spethson, Vanessa Meschke, Elliot Strand, Logan Ward, John Perepezko, Dan Thoma, Paul Voyles, Izabela Szlufarska, Dane Morgan, 2022. “Machine Learning Prediction of the Critical Cooling Rate for Metallic Glasses from Expanded Datasets and Elemental Features.” Chemistry of Materials. https://doi.org/10.1021/acs.chemmater.1c03542.