A PDE evaluation dataset containing 32 physical systems, each with four representations: source code, natural-language description, governing equation, and numerical trajectory, with both correct and corrupted variants.
See LICENSE filePDE evaluationcross-representation learningphysical systems
A large-scale benchmark dataset for machine learning in computational fluid dynamics, covering four classic CFD problems—lid-driven cavity, laminar pipe flow, dam-break, and flow around a cylinder—to evaluate neural operator generalization under unseen conditions.
Proposes Graph Wavelet Compressed Sensing (GWCS) for offline compression of graph signals via sparse wavelet-domain representations, reducing data preparation costs for scientific machine learning training.
See LICENSE filegraph signal processingwavelet transformcompressed sensing
