Published May 2023
| Version v2
Dataset
Open
Representative PDE Benchmarks (RPB) - Convolutional Neural Operators for robust and accurate learning of PDEs
Description
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)
Files
data.zip
Files
(2.4 GB)
| Name | Size | Download all |
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md5:268a51a9c90f4ee01cd0c1495664ec25
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