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

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: [e-mail])