An operator learning perspective on parameter-to-observable maps

This repository contains the datasets corresponding to the three benchmark problems for the Fourier Neural Mappings scientific machine learning architectures. The first file is the data for the advection-diffusion problem, the second for the airfoil problem, and the third for the elliptic homogenization materials problem. The code associated with these data may be found at https://github.com/nickhnelsen/fourier-neural-mappings