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20192026
most citedThe Materials Simulation Toolkit for Machine Learning (MAST-ML): an automated open source toolkit to accelerate data-driven materials research

78 citations · 142 across the 7 of their papers we have counts for

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cond-mat.mtrl-sci2023★ 24 cited

Machine Learning Prediction of Critical Cooling Rate for Metallic Glasses From Expanded Datasets and Elemental Features

Benjamin T. Afflerbach, Carter Francis, Lane E. Schultz +9

We use a random forest model to predict the critical cooling rate (RC) for glass formation of various alloys from features of their constituent elements. The random forest model wa…