Understanding defect dynamics and evolution in high entropy alloys (HEAs) s is complicated due to the wide and intricate configurational space in HEAs. Machine learning techniques have significant ...

Using a new physics-informed machine learning approach, researchers discovered two new high-entropy alloys with extremely low thermal expansion, a new study reports. The approach could represent a ...

A new critical review published in Materials Futures traces the rapid evolution of Refractory High-Entropy Alloys (RHEAs), a revolutionary class of materials engineered for extreme environments. The ...

IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...

This is a preview. Log in through your library . Abstract Active learning (AL) technique is the classification of remote sensing images, where collecting efficient training data is costly in terms of ...