Achieving High Accuracy with PINNs via Energy Natural Gradients

Johannes Müller, Marius Zeinhofer

We propose energy natural gradient descent, a natural gradient method with respect to a Hessian-induced Riemannian metric as an optimization algorithm for physics-informed neural n…