CoRoPINN: Cognitive region optimized physics-informed neural networks
The solution of partial differential equations (PDEs) remains a significant problem in scientific computing. Although physics-informed neural networks (PINNs) provide a mesh-free paradigm, pointwise constraints offer limited supervision between collocation points and uniform training can under-resolve regions with grea...