Graph deep learning models, which incorporate a natural inductive bias for atomic structures, are of immense interest in materials science and chemistry. Here, we introduce the Materials Graph Library ...

Graphs are a ubiquitous data structure and a universal language for representing objects and complex interactions. They can model a wide range of real-world systems, such as social networks, chemical ...

Computer-aided process planning (CAPP) serves as a bridge between computer-aided design (CAD) and computer-aided manufacturing (CAM), efficiently transforming a design into a rational manufacturing ...

The rise of on-device deep learning (DL) in resource-limited mobile and embedded devices has stimulated various applications. However, existing on-device DL mostly relies on predefined processing ...