| # Data |
| This repo contains the data accompanying the paper "Diffusion for Fusion: Designing Stellarators with Generative AI" by Misha Padidar, Teresa Huang, Andrew Giuliani, Marina Spivak in the AI4Science workshop at Neurips, 2025. |
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| There are two different copies of the dataset with minor differences. It was found that approximately ~3k, of the 370k, feature vectors contained some errors in them during the canonicalization process. The original data used to train the model is contained in `dofs.npy, QUASR.pkl`. The corrected dataset is `dofs_06082025.npy, QUASR_06082025.pkl`. While we attach both datasets here for transparency, in all future work the later dataset should be used. |
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| - `dofs.npy` contains the Fourier coefficients of the surfaces, i.e. the `x` values. |
| - `QUASR.pkl` contains features (`iota`, `nfp`, etc) corresponding to each configuration in `dofs.npy`, i.e. the conditions `y`. |
| - `dofs_06082025.npy` contains the Fourier coefficients of the surfaces, i.e. the `x` values. The ~3k feature vectors were corrected in this version. |
| - `QUASR_06082025.pkl` contains features (`iota`, `nfp`, etc) corresponding to each configuration in `dofs_06082025.npy`, i.e. the conditions `y`. The ~3k feature vectors were corrected in this version. |
