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 ...

In an article recently published in the open-access journal npj Computational Materials, researchers discussed the intelligent framework based on machine learning (ML) for finding refractory ...

Researchers at Cleveland State University have recently achieved a significant breakthrough in the field of quantum sensing by utilizing machine learning techniques to optimize circuits, successfully ...

Entropy can measure a brain's computational complexity by quantifying the number of accessible mental states (the size of the mental repertoire).