Dataset Card for ConStellaration A dataset of diverse quasi isodynamic (QI) stellarator boundary shapes with corresponding performance metrics and ideal magneto hydrodynamic (MHD) equilibria, as well as settings for their generation. The performance metrics and ideal MHD equilibria were evaluated under vacuum (default) and with plasma inside (finite beta). Dataset Details Dataset Description Stellarators are magnetic confinement devices that are being pursued to deliver steady state carbon free fusion energy. Their design involves a high dimensional, constrained optimization problem that requires expensive physics simulations and significant domain expertise. Specifically, QI stellarators are seen as a promising path to commercial fusion due to their intrinsic avoidance of current driven disruptions. With the release of this dataset, we aim to lower the barrier for optimization and machine learning researchers to contribute to stellarator design, and to accelerate cross disciplinary progress toward bringing fusion energy to the grid. Curated by: Proxima Fusion License: MIT Dataset Sources Repository: https://huggingface.co/datasets/proxima fusion/constellaration Paper: https://arxi…
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