Controlling the boundary layer in fusion-grade, high-performance, plasma discharges is
essential for the successful development of toroidal magnetic confinement power generating …

The paper is prepared on the basis of the report presented at the session of the Physical
Sciences Division of the Russian Academy of Sciences (RAS) at the Lebedev Physical …

Recent progress in the application of machine learning (ML)/artificial intelligence (AI)
algorithms to improve the Equilibrium Fitting (EFIT) code equilibrium reconstruction for …

Multiscale interaction between the magnetic island and turbulence has been demonstrated
through simultaneous two-dimensional measurements of turbulence and temperature and …

A neural network solving the Grad–Shafranov equation constrained with measured
magnetic signals to reconstruct magnetic equilibria in real time is developed. The database …

Since the successful first plasma generation in the middle of 2008, three experimental
campaigns were successfully made for the KSTAR device, accompanied with a necessary …

Kinetic equilibrium reconstructions make use of profile information such as particle density
and temperature measurements in addition to magnetics data to compute a self-consistent …

High fidelity kinetic plasma equilibrium reconstructions are an essential requirement for
accurate stability and disruption prediction analyses to support continuous operation of high …

Typical ELMy H-mode discharges have been obtained in the KSTAR tokamak with the
combined auxiliary heating of neutral beam injection (NBI) and electron cyclotron resonant …

The fourth KSTAR campaign in 2011 concentrated on active edge-localized mode (ELM)
control by various methods such as non-axisymmetric magnetic perturbations, supersonic …