An Extra Trees model trained on one-hot encoded compositions predicts superconducting transition temperatures of liquid metal alloys with R2=0.9519 and identifies In0.5Sn0.5 as the best printable candidate at 7.01 K.
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Tree Models Machine Learning to Identify Liquid Metal based Alloy Superconductor
An Extra Trees model trained on one-hot encoded compositions predicts superconducting transition temperatures of liquid metal alloys with R2=0.9519 and identifies In0.5Sn0.5 as the best printable candidate at 7.01 K.