Scientific Machine Learning, wave scattering, Helmholtz equation, neural operator, Krylov methods, DeepONet
Convolutional layer, Group convolution, Approximability estimate
operator learning, Preconditioning, Hybridization, Spectral bias, Numerical optimization, Pareto optimality