Bulletin of the American Physical Society
64th Annual Meeting of the APS Division of Plasma Physics
Volume 67, Number 15
Monday–Friday, October 17–21, 2022; Spokane, Washington
Session YP11: Poster Session IX: In-Person, Hall A (9:30-11:00am) and Virtual Poster Presentations (11:15am-12:30pm)
Supplemental
9:30 AM - 12:30 PM
Friday, October 21, 2022
Room: Exhibit Hall A and Online
Abstract: YP11.00010 : Spatiotemporal forecasting of plasma turbulence*
Presenter:
Rahul Gaur
(University of Maryland, College Park)
Authors:
Rahul Gaur
(University of Maryland, College Park)
William D Dorland
(University of Maryland Department of Physics)
Nathaniel Barbour
(University of Maryland, College Park)
Collaboration:
GX
One major advantage of these deep learning networks is the ability to calculate the Lyapunov exponents of a dynamical system. Haller et al.~\cite{haller2015lagrangian} have shown in the past that the Lyapunov exponents are directly related to the Cauchy-Green strain tensor. We believe that the Lyapunov exponents might yield information about the relative effects of two competing stresses in Ivanov's edge turbulence model: the Reynolds stress and $E \times B$ diamagnetic stress. To that end, we calculate the Lyapunov spectrum of the simulation data and find correlations between the heat flux and the max Lyapunov exponent.
*SciDAC-MGK
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