Data for "Molecular Simulation-derived features for machine learning predictions of metal glass forming ability"

This is a set of data for the paper "Molecular Simulation-derived features for machine learning predictions of metal glass forming ability".<br>The data includes a molecular dynamics simulated database of critical cooling rates for 11 binary metallic alloys of compositions ranging from 0-10% of the minor alloying element. GFA inspired features have been extracted from the cooling runs and are included along with critical cooling rates in Compiled_Rc_V5.csv<br><br>Full machine learning outputs from the MAST-ML code package are also included for reference in the MASTML_Runs.zip file.<br><br>The 3 files beginning with "lasso..." and the last file "summary..." extract a few key results from the MASTML_Runs.zip file which were used for figures in the paper and in the case of the summary file, for easier comparison of the various model types explored but not detailed in the paper.<br>