Gauss-Newton Natural Gradient Descent for Physics-Informed Computational Fluid Dynamics

Anas Jnini, Flavio Vella, Marius Zeinhofer

We propose Gauss-Newton's method in function space for the solution of the Navier-Stokes equations in the physics-informed neural network (PINN) framework. Upon discretization, thi…