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.
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Yeh, « Alloy Design Strategies and Future Trends in High-Entropy Alloys », JOM, vol
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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.