neural-pde

Introduces Energy Manifold Natural Gradient Descent (EMNGD), a manifold optimization framework for neural PDE solvers that aligns parameter updates with function-space energy curvature while respecting parameter constraints. Theoretical guarantees and empirical results show improved accuracy and convergence.