Gradient-Update Mismatch: Rethinking Conflict-Free Training of Physics-Informed Neural Networks

Jing Xiao, Xinhai Chen, Qinglin Wang +5

Training Physics-Informed Neural Networks (PINNs) requires jointly optimizing physics residual and initial/boundary condition loss terms, which often induce conflicting gradients.…