4 citations · 5 across the 6 of their papers we have counts for
4 papers · 1 filter
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…
Validation of NSFsim as a Grad-Shafranov Equilibrium Solver at DIII-D
Randall Clark, Maxim Nurgaliev, Eduard Khayrutdinov +3
Plasma shape is a significant factor that must be considered for any Fusion Pilot Plant (FPP) as it has significant consequences for plasma stability and core confinement. A new si…
Energetic Electron Transport in Magnetic Fields with Island Chains and Stochastic Regions
E G Kostadinova, D M Orlov, M Koepke +2
This paper investigates energetic electron transport in magnetized toroidal plasmas with magnetic fields characterized by island chains and regions of stochastic field lines produc…