J. Castro-Correa

HelmholtzNet: Physics-informed graph neural network for acoustic pressure estimation

We present a method for predicting the ocean acoustic pressure field from partially observed pressure magnitudes across range–depth locations. Our framework leverages a physics-informed graph neural network (PIGNN), in which graph connectivity encodes the local spatial structure of the waveguide and enables stable lear...