Aleksandra Jekic

Examining the robustness of Physics-Informed Neural Networks to noise for Inverse Problems

This work compares the performance of PINNs in solving inverse problems with that of a traditional approach using the finite element method combined with a numerical optimizer and finds that while PINNs may require less human effort and specialized knowledge, they are outperformed by the traditional approach.