The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...

Low-carbon energy systems are becoming increasingly complex due to high penetrations of renewable energy, distributed resources, and cyber-physical ...

It takes years of on-the-job training to learn the ins and outs of particle accelerator operation. Despite the fact that accelerator operators are essential to keeping an accelerator laboratory afloat ...

Published in Acta Mechanica Sinica, this forward-looking study argues that embedding physical laws into AI models is ...