## Dataset overview

This dataset includes the simulations used in training and evaluation of the model proposed in [Predicting physics in mesh-reduced space with temporal attention](https://arxiv.org/pdf/2201.09113.pdf) for the cylinder flow use case. The dataset is generated by solving the incompressible equations based on the Finite Volume Method (FVM). The open-source library OpenFOAM is used to conduct all CFD simulations. All flow domains are discretized by
triangle (tri) mesh cells and the mesh resolutions are adaptive to the richness of flow features. The dataset consists of 51
training and 50 test trajectories.

## License

[Attribution-ShareAlike 4.0 International](https://creativecommons.org/licenses/by-sa/4.0/legalcode.txt)

## Reference

[Predicting physics in mesh-reduced space with temporal attention](https://arxiv.org/pdf/2201.09113.pdf)

modulus_datasets_cylinder-flow

Cylinder flow dataset in npy format used in the mesh-reduced GNN model: https://arxiv.org/pdf/2201.09113.pdf

Modulus Datasets: Cylinder Flow

Dataset overview

License

Reference