most citedMachine learning metallic glass critical cooling rates through elemental and molecular simulation based featurization

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

cond-mat.mtrl-sci2026★ 3 cited

Machine learning metallic glass critical cooling rates through elemental and molecular simulation based featurization

Lane E. Schultz, Benjamin Afflerbach, Paul M. Voyles +1

We have developed a machine learning model for critical cooling rates for metallic glasses based on computational properties. We compare results for features derived from easy-to-c…