Derivative-Informed Fourier Neural Operator: Universal Approximation and Applications to PDE-Constrained Optimization

Boyuan Yao, Dingcheng Luo, Lianghao Cao +3

We present approximation theories and efficient training methods for derivative-informed Fourier neural operators (DIFNOs) with applications to PDE-constrained optimization. A DIFN…