J. Castro-Correa

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

A key contribution of this work is demonstrating that graph-based message passing, combined with the envelope function derived from the parabolic equation (PE) model, effectively mitigates this challenge by capturing local phase relationships and yielding a substantially smoother learning target.