Sophelio/fusion-equilibrium-challenge
⚛️ The Fusion Equilibrium Challenge Predict the shape of a fusion plasma (the magnetic equilibrium, $\psi$) from control inputs and diagnostics alone — without magnetic sensors. Data comes from two tokamaks: DIII-D — General Atomics tokamak (San Diego, USA) MAST — Mega Ampere Spherical Tokamak (Culham, UK) In data-science terms this is an image-regression / control problem: predict a 2-D poloidal flux map (efit_psirz) at each EFIT timestep from coil currents (the actuators)… See the full description on the dataset page: https://huggingface.co/datasets/Sophelio/fusion-equilibrium-challenge.
| Author / organization | Sophelio |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 21.2K (as reported by Hugging Face) |
| Likes | 8 |
| Created | 30 July 2026 |
| Last updated at source | 30 July 2026 |
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