2 papers
physics.plasm-ph2025
Reconstruction-free magnetic control of DIII-D plasma with deep reinforcement learning
G. F. Subbotin, D. I. Sorokin, M. R. Nurgaliev +9
Precise control of plasma shape and position is essential for stable tokamak operation and achieving commercial fusion energy. Traditional control methods rely on equilibrium recon…
physics.plasm-ph2025
Reconstructing the Plasma Boundary with a Reduced Set of Diagnostics
M. S. Stokolesov, M. R. Nurgaliev, I. P. Kharitonov +4
This study investigates the feasibility of reconstructing the last closed flux surface (LCFS) in the DIII-D tokamak using neural network models trained on reduced input feature set…