Researchtransformerstokamaksurrogate modelsreal time control
Transformer Predicts Tokamak Global Plasma Parameters
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6.1
Chenguang Wan et al. present a transformer-based model (submitted Feb 22, 2026) that predicts six global plasma parameters on the WEST tokamak using only pre-discharge signals. Trained on 550 discharges, it achieves average MSE 0.026, R^2 0.94 and inference times around 0.1 seconds. The results suggest data-driven surrogates can aid discharge planning, scenario evaluation, and real-time control of tokamak plasmas.
Scoring Rationale
Solid, directly usable surrogate model with high accuracy, limited by single-venue arXiv preprint and niche tokamak scope.
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