Interpretable Deep Learning–Machine Learning Models for Accelerated Discovery of Elastic Properties in Refractory High‐Entropy Alloys
Refractory high‐entropy alloys (RHEAs) offer mechanical performance at extreme temperatures, but their optimization is hindered by the vast compositional space and high cost of first‐principles calculations. This study establishes an interpretable machine‐learning benchmark for predicting nine elastic and mechanical pr...