62 citations · 62 across the 1 of their papers we have counts for
3 papers
physics.plasm-ph2021
Proof of concept of a fast surrogate model of the VMEC code via neural networks in Wendelstein 7-X scenarios
Andrea Merlo, Daniel Böckenhoff, Jonathan Schilling +7
In magnetic confinement fusion research, the achievement of high plasma pressure is key to reaching the goal of net energy production. The magnetohydrodynamic (MHD) model is used t…
physics.plasm-ph2019★ 62 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
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…