Fourier Spectral Physics Informed Neural Network: An Efficient and
Low-Memory PINN
Fourier Spectral Physics Informed Neural Network: An Efficient and
Low-Memory PINN
With growing investigations into solving partial differential equations by physics-informed neural networks (PINNs), more accurate and efficient PINNs are required to meet the practical demands of scientific computing. One bottleneck of current PINNs is computing the high-order derivatives via automatic differentiation which often necessitates substantial computing resources. In this paper, …