Goal oriented error estimation for adaptive sampling of PINNS

Medard Govoeyi, Thomas Richter

Physics-Informed Neural Networks (PINNs) are mesh-free approaches for the numerical approximation of partial differential equations, where a neural network is trained by minimizing…