Building Trust in PINNs: Error Estimation through Finite Difference Methods

Aleksander Krasowski, René P. Klausen, Aycan Celik +3

Physics-informed neural networks (PINNs) constitute a flexible deep learning approach for solving partial differential equations (PDEs), which model phenomena ranging from heat con…