3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 3 cited
AutoPINN: When AutoML Meets Physics-Informed Neural Networks
Xinle Wu, Dalin Zhang, Miao Zhang +5
Physics-Informed Neural Networks (PINNs) have recently been proposed to solve scientific and engineering problems, where physical laws are introduced into neural networks as prior…
eess.SY2022
Impact of Loss Model Selection on Power Semiconductor Lifetime Prediction in Electric Vehicles
Hongjian Xia, Yi Zhang, Dao Zhou +4
Power loss estimation is an indispensable procedure to conduct lifetime prediction for power semiconductor device. The previous studies successfully perform steady-state power loss…