12 citations · 14 across the 9 of their papers we have counts for
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physics.plasm-ph2021
Efficient training of artificial neural network surrogates for a collisional-radiative model through adaptive parameter space sampling
Nathan A. Garland, Romit Maulik, Qi Tang +2
Reliable plasma transport modeling for magnetic confinement fusion depends on accurately resolving the ion charge state distribution and radiative power losses of the plasma. These…
physics.comp-ph2021★ 12 cited
An adaptive scalable fully implicit algorithm based on stabilized finite element for reduced visco-resistive MHD
Qi Tang, Luis Chacon, Tzanio V. Kolev +2
The magnetohydrodynamics (MHD) equations are continuum models used in the study of a wide range of plasma physics systems, including the evolution of complex plasma dynamics in tok…