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20 changes: 10 additions & 10 deletions README.md
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Expand Up @@ -125,16 +125,16 @@ Neural Operators:

- [Fourier Neural Operators (FNOs)](physicsnemo/models/fno)
- [DeepONet](https://docs.nvidia.com/deeplearning/physicsnemo/physicsnemo-sym/user_guide/neural_operators/deeponet.html)
- [DoMINO](https://docs.nvidia.com/deeplearning/physicsnemo/physicsnemo-core/examples/cfd/external_aerodynamics/domino/readme.html)
- [Graph Neural Networks (GNNs)](physicsnemo/models/gnn_layers)
- [MeshGraphNet](https://docs.nvidia.com/deeplearning/physicsnemo/physicsnemo-core/examples/cfd/vortex_shedding_mgn/readme.html)
- [MeshGraphNet for Lagrangian](https://docs.nvidia.com/deeplearning/physicsnemo/physicsnemo-core/examples/cfd/lagrangian_mgn/readme.html)
- [XAeroNet](https://docs.nvidia.com/deeplearning/physicsnemo/physicsnemo-core/examples/cfd/external_aerodynamics/xaeronet/readme.html)
- [Diffusion Models](physicsnemo/models/diffusion)
- [Correction Diffusion Model](https://docs.nvidia.com/deeplearning/physicsnemo/physicsnemo-core/examples/generative/corrdiff/readme.html)
- [DDPM](https://docs.nvidia.com/deeplearning/physicsnemo/physicsnemo-core/examples/generative/diffusion/readme.html)
- [PhysicsNeMo GraphCast](https://docs.nvidia.com/deeplearning/physicsnemo/physicsnemo-core/examples/weather/graphcast/readme.html)
- [Transsolver](https://github.com/NVIDIA/physicsnemo/tree/main/examples/cfd/darcy_transolver)
- [DoMINO](https://docs.nvidia.com/physicsnemo/latest/physicsnemo/examples/cfd/external_aerodynamics/domino/README.html)
- [Graph Neural Networks (GNNs)](https://docs.nvidia.com/physicsnemo/latest/user-guide/model_architectures.html#graph-neural-networks)
- [MeshGraphNet](https://docs.nvidia.com/physicsnemo/latest/physicsnemo/examples/cfd/vortex_shedding_mgn/README.html)
- [MeshGraphNet for Lagrangian](https://docs.nvidia.com/physicsnemo/latest/physicsnemo/examples/cfd/lagrangian_mgn/README.html)
- [XAeroNet](https://docs.nvidia.com/physicsnemo/latest/physicsnemo/examples/cfd/external_aerodynamics/xaeronet/README.html)
- [Diffusion Models](https://docs.nvidia.com/physicsnemo/latest/user-guide/model_architectures.html#diffusion-models)
- [Correction Diffusion Model](https://docs.nvidia.com/physicsnemo/latest/physicsnemo/examples/weather/corrdiff/README.html)
- [DDPM](https://docs.nvidia.com/physicsnemo/latest/physicsnemo/examples/cfd/flow_reconstruction_diffusion/README.html)
- [PhysicsNeMo GraphCast](https://docs.nvidia.com/physicsnemo/latest/physicsnemo/examples/weather/graphcast/README.html)
- [Transolver](https://docs.nvidia.com/physicsnemo/latest/user-guide/model_architectures.html#transformers)
- [RNNs](https://github.com/NVIDIA/physicsnemo/tree/main/physicsnemo/models)
- [SwinVRNN](https://github.com/NVIDIA/physicsnemo/tree/main/physicsnemo/models/swinvrnn)
- [Physics-Informed Neural Networks (PINNs)](https://docs.nvidia.com/deeplearning/physicsnemo/physicsnemo-sym/user_guide/foundational/1d_wave_equation.html)
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Expand Up @@ -49,8 +49,7 @@ for steady-state analysis, applying the SST K-omega turbulence model. These simu
consist of 7.2 million mesh points on average, but we use the surface mesh as the input
to training which is roughly around 70k mesh nodes.

To request access to the full dataset, please reach out to the
[NVIDIA PhysicsNeMo team](mailto:physicsnemo-team@nvidia.com).
You can download the full Ahmed body dataset from Hugging Face [here](https://huggingface.co/datasets/nvidia/PhysicsNeMo-CFD-Ahmed-Body). You can modify the PhysicsNeMo-Curator script to automate the download : [download_hugging_face_dataset.sh](./download_hugging_face_dataset.sh)

### DrivAerNet

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