Ananyae Kumar bhartari

Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective

Physics-informed neural networks (PINNs) have shown significant promise in computational science and engineering, yet they often face optimization challenges and limited accuracy. In this work, we identify directional gradient conflicts during PINN training as a critical bottleneck. We introduce a n…