62 citations · 75 across the 5 of their papers we have counts for
5 papers
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…
Bayesian with Gaussian process based missing input imputation scheme for reconstructing magnetic equilibria in real time
Semin Joung, Jaewook Kim, Sehyun Kwak +7
A Bayesian with GP(Gaussian Process)-based numerical method to impute a few missing magnetic signals caused by impaired magnetic probes during tokamak operations is developed such…
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…
Reliability of the two-point measurement of the spatial correlation length from Gaussian-shaped fluctuating signals in fusion-grade plasmas
Jaewook Kim, Y. U. Nam, M. Lampert +1
A statistical method for the estimation of spatial correlation lengths of Gaussian-shaped fluctuating signals with two measurement points is examined to quantitatively evaluate its…
Conditions for generating synthetic data to investigate characteristics of fluctuating quantities
Jaewook Kim, M. F. J. Fox, A. R. Field +2
Synthetic data describing coherent random fluctuations have widely been used to validate numerical sim- ulations against experimental observations or to examine the reliability of…