Multigrid-Augmented Deep Learning Preconditioners for the Helmholtz Equation

The authors present a novel approach using deep learning to solve the Helmholtz equation efficiently by combining multigrid solvers and convolutional neural networks. Their method offers improvements in scalability, efficiency, and training time compared to previous neural methods.