Novel Ensemble Prediction Framework for Fast and Accurate Phase Prediction in FeNiCoCrAlCu High‐Entropy Alloys by Integrating Data Augmentation and Interpretable Methods
Accurate phase prediction in high‐entropy alloys (HEAs) remains challenging because of vast compositional spaces and limited available data. Targeting the complex FeNiCoCrAlCu system, we propose a novel machine learning framework. To overcome the small‐sample limitation of the dataset (204 samples), a physics‐constra...