4 papers
Reconstruction of Unobserved Core Electron Density in Tokamak Plasmas with a Neural Operator Transport Surrogate and Uncertainty Quantification
D. Sorokin, A. Granovskiy, M. Stokolesov +3
Real-time control of tokamak plasmas requires the electron density profile. However, in a reactor-relevant device, diagnostic port access is limited and the profile can be observed…
Dynamic Plasma Shape Control with Arbitrary Sensor Subsets
D. Sorokin, M. Stokolesov, A. Granovskiy +7
Plasma shape control in tokamaks requires a real-time controller that tracks dynamically changing shape targets while tolerating diagnostic failures. Classical approaches decompose…
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…
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…