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Representative PDE Benchmarks (RPB) - Convolutional Neural Operators for robust and accurate learning of PDEs

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Zenodo2023-12-19 更新2026-05-26 收录
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Representative PDE Benchmarks (RPB) We made the datasets as clean as we could. It is now clear which datasets correspong to in-distribution and out-of-distributions testings. Please read our BLOG! There are 8 benchmarks that we considered: Poisson Equation Wave Equation Smooth Transport Discontinuous Transport Allen-Cahn Equation Navier-Stokes Equations Darcy Flow Compressible Euler Equations REMARK: DO NOT USE __MACOSX FILES, BUT THE .H5 ONES! Please refer to out github page to get the script that loads the datasets: https://github.com/bogdanraonic3/ConvolutionalNeuralOperator/tree/main Please let us know if there are mistakes in the data (email: braonic@student.ethz.ch)

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2023-12-19
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