An operator learning perspective on parameter-to-observable maps
收藏CaltechDATA2024-02-12 更新2026-04-16 收录
下载链接：
https://data.caltech.edu/doi/10.22002/r5ga1-55d06
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资源简介：
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
提供机构：
California Institute of Technology; Peking University
创建时间：
2024-02-12
