Active machine learning is widely used in computational studies where repeated numerical simulations can be conducted on high performance computers without human intervention. But translation of these ...

Sintered neodymium-iron-boron (NdFeB) magnets are indispensable in high-performance applications, but their optimization is challenged by complex structure-property relationships and limited data. In ...

A Chinese research team wrote a review article on deep active learning, an increasingly popular method of combining active learning with deep learning for sample selection in the training of neural ...