[图书][B] Zonal jets: Phenomenology, genesis, and physics

B Galperin, PL Read - 2019 - books.google.com
In recent decades, great progress has been made in our understanding of zonal jets across
many subjects-atmospheric science, oceanography, planetary science, geophysical fluid …

Saturation of gyrokinetic turbulence through damped eigenmodes

DR Hatch, PW Terry, F Jenko, F Merz, WM Nevins - Physical Review Letters, 2011 - APS
In the context of toroidal gyrokinetic simulations, it is shown that a hierarchy of damped
modes is excited in the nonlinear turbulent state. These modes exist at the same spatial …

Origin of magnetic stochasticity and transport in plasma microturbulence

DR Hatch, MJ Pueschel, F Jenko, WM Nevins… - Physical review …, 2012 - APS
Nonlinear excitation of linearly stable microtearing modes—with zonal modes acting as a
catalyst—is shown to be responsible for the near-ubiquitous magnetic stochasticity and …

Role of subdominant stable modes in plasma microturbulence

DR Hatch, PW Terry, F Jenko, F Merz… - Physics of …, 2011 - pubs.aip.org
In gyrokinetic simulations, thousands of degrees of freedom are available to contribute to the
fluctuation spectrum. For wavevectors with a single linear instability, the unstable …

Synthesizing impurity clustering in the edge plasma of tokamaks using neural networks

Z Lin, T Maurel-Oujia, B Kadoch, P Krah, N Saura… - Physics of …, 2024 - pubs.aip.org
This work investigates the behavior of impurities in edge plasma of tokamaks using high-
resolution numerical simulations based on Hasegawa–Wakatani equations. Specifically, it …

[HTML][HTML] Scientific machine learning based reduced-order models for plasma turbulence simulations

C Gahr, IG Farcaş, F Jenko - Physics of Plasmas, 2024 - pubs.aip.org
This paper investigates non-intrusive Scientific Machine Learning (SciML) Reduced-Order
Models (ROMs) for plasma turbulence simulations. In particular, we focus on Operator …

Data-driven modal analysis of nonlinear quantities in turbulent plasmas using multi-field singular value decomposition

G Yatomi, M Nakata, M Sasaki - Plasma Physics and Controlled …, 2023 - iopscience.iop.org
Nonlinear dynamics in the two-dimensional multi-component plasma turbulence described
by the Hasegawa–Wakatani equation is investigated by using a data-driven modal analysis …

Linear signatures in nonlinear gyrokinetics: interpreting turbulence with pseudospectra

DR Hatch, F Jenko, AB Navarro, V Bratanov… - New Journal of …, 2016 - iopscience.iop.org
A notable feature of plasma turbulence is its propensity to retain features of the underlying
linear eigenmodes in a strongly turbulent state—a property that can be exploited to predict …

Nearly integrable flows and chaotic tangles in the Dimits shift regime of plasma edge turbulence

NM Cao, D Qi - Physics of Plasmas, 2023 - pubs.aip.org
Transitionally turbulent flows frequently exhibit spatiotemporal intermittency, reflecting a
complex interplay between driving forces, dissipation, and transport present in these …

Learning physics-based reduced models from data for the Hasegawa-Wakatani equations

C Gahr, IG Farcas, F Jenko - arXiv preprint arXiv:2401.05972, 2024 - arxiv.org
This paper focuses on the construction of non-intrusive Scientific Machine Learning (SciML)
Reduced-Order Models (ROMs) for nonlinear, chaotic plasma turbulence simulations. In …