85 citations · 425 across the 20 of their papers we have counts for
20 papers
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…
On the local anisotropy of quasi-two-dimensional forced shallow flow: An experimental study
Ghassan Antar, Jamal El Kuweiss, Kai Schneider +2
We experimentally investigate quasi-two-dimensional (Q2D) forced shallow flows in the presence of solid boundaries and analyze the deviation from the Kolmogorov-Kraichnan (KK) theo…
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…