MS student, University of Pennsylvania, University of Pennsylvania
1 paper at NeurIPS 2025
This work identifies gradient conflicts as a key challenge in training PINNs and shows that quasi second-order methods—especially SOAP—effectively resolve them, leading to 2-10x accuracy gains on 10 PDE benchmarks.
