SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradients

Cunliang Pan, Chengxuan Li, Yu Liu +2

The automatic differentiation (AD) in the vanilla physics-informed neural networks (PINNs) is the computational bottleneck for the high-efficiency analysis. The concept of derivati…