An element-independent random-forest/XGBoost model can interpolate composition from PVD cathode powers and invert powers from target composition on a 7-element, 82-point dataset, with RMSE of about 0.1 in composition and 70 W in power.
Okamoto, « Supplemental Literature Review of Binary Phase Diagrams: B-Fe, Cr-Zr, Fe-Np, Fe- W, Fe-Zn, Ge-Ni, La-Sn, La-Ti, La-Zr, Li-Sn, Mn-S, and Nb-Re », J
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Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments
An element-independent random-forest/XGBoost model can interpolate composition from PVD cathode powers and invert powers from target composition on a 7-element, 82-point dataset, with RMSE of about 0.1 in composition and 70 W in power.