activity
20122019
most citedDeep neural network Grad-Shafranov solver constrained with measured magnetic signals

62 citations · 64 across the 4 of their papers we have counts for

collaborators

5 papers

physics.plasm-ph201962 cited

Deep neural network Grad-Shafranov solver constrained with measured magnetic signals

Semin Joung, Jaewook Kim, Sehyun Kwak +7

A neural network solving Grad-Shafranov equation constrained with measured magnetic signals to reconstruct magnetic equilibria in real time is developed. Database created to optimi…

physics.plasm-ph2018

Evolution of magnetic Kubo number of stochastic magnetic fields during the edge pedestal collapse simulation

Jaewook Kim, Wonjun Lee, Hogun Jhang +3

Using a statistical correlation analysis, we compute evolution of the magnetic Kubo number during an edge pedestal collapse in nonlinear reduced magnetohydrodynamic simulations. Th…

physics.plasm-ph20171 cited

Estimation of reliable range of electron temperature measurements with sets of given optical bandpass filters for KSTAR Thomson scattering system based on synthetic Thomson data

Keon-hee Kim, Tae-suk Oh, Kyeo-reh Park +2

One factor determining the reliability of measurements of electron temperature using a Thomson scattering (TS) system is transmittance of the optical bandpass filters in polychroma…

physics.plasm-ph2013

Characteristics of Plasma Turbulence in the Mega Amp Spherical Tokamak

Young-chul Ghim

Turbulence is a major factor limiting the achievement of better tokamak performance as it enhances the transport of particles, momentum and heat which hinders the foremost objectiv…

physics.plasm-ph20121 cited

Local dependence of ion temperature gradient on magnetic configuration, rotational shear and turbulent heat flux in MAST

Y. -c. Ghim, A. R. Field, A. A. Schekochihin +3

Experimental data from the Mega Amp Spherical Tokamak (MAST) is used to show that the inverse gradient scale length of the ion temperature R/LTi (normalized to the major radius R)…