85 citations · 425 across the 20 of their papers we have counts for
18 papers · 1 filter
Autoregressive prediction of 2D MHD dynamics inferred from deep learning modeling
David Kivarkis, Waleed Mouhali, Sadruddin Benkadda +1
We develop two deep learning surrogate autoregressive models for the prediction of the temporal evolution of two-dimensional ideal magnetohydrodynamic (MHD) Kelvin-Helmholtz instab…
Nondiffusive transport of inertial heavy impurities in drift-wave turbulence
Zetao Lin, Benjamin Kadoch, Sadruddin Benkadda +1
We investigate the transport behavior of tungsten impurities with finite inertia in drift-wave turbulence using the Hasegawa-Wakatani model. Unlike previous tracer-based models, ou…
Multiscale geometrical Lagrangian statistics of heavy impurities in drift-wave turbulence
Zetao Lin, Benjamin Kadoch, Saddrudin Benkadda +1
We investigate the behavior of heavy impurities in edge plasma turbulence by analyzing their trajectories using the Hasegawa-Wakatani model. Through direct numerical simulations, w…
Synthesizing impurity clustering in the edge plasma of tokamaks using neural networks
Zetao Lin, Thibault Maurel-Oujia, Benjamin Kadoch +4
This work investigates the behavior of impurities in edge plasma of tokamaks using high-resolution numerical simulations based on Hasegawa--Wakatani equations. Specifically, it foc…
2022 Review of Data-Driven Plasma Science
Rushil Anirudh, Rick Archibald, M. Salman Asif +60
Data science and technology offer transformative tools and methods to science. This review article highlights latest development and progress in the interdisciplinary field of data…
Towards enhanced performance in fusion plasmas via turbulence suppression by MeV ions
S. Mazzi, J. Garcia, D. Zarzoso +9
Megaelectron volt (MeV) alpha particles will be the main source of plasma heating in magnetic confinement fusion reactors. Yet, instead of heating fuel ions, most of the energy of…