Researchtransformerstokamaksurrogate modelsreal time control
Transformer Predicts Tokamak Global Plasma Parameters
6.1
Relevance Score
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.
