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Kinetic-range turbulence in magnetized plasmas and, in particular, in the context of solar-wind turbulence has been extensively investigated over the past decades via numerical simulations. Among others, one of the widely adopted reduced…

等离子体物理 · 物理学 2017-05-24 S. S. Cerri , L. Franci , F. Califano , S. Landi , P. Hellinger

A recent thrust in turbulence closure modeling research is to incorporate machine learning (ML) elements, such as neural networks, for the purpose of enhancing the predictive capability to a broader class of flows. Such a turbulence closure…

流体动力学 · 物理学 2021-01-19 Salar Taghizadeh , Freddie D. Witherden , Sharath S. Girimaji

In this article we detail the use of machine learning for spatiotemporally dynamic turbulence model classification and hybridization for the large eddy simulations (LES) of turbulence. Our predictive framework is devised around the…

流体动力学 · 物理学 2019-05-15 Romit Maulik , Omer San , Jamey D. Jacob , Christopher Crick

Drift effects play a significant role in the transport of charged particles in the heliosphere. A turbulent magnetic field is also known to reduce the effects of particle drifts. The exact nature of this reduction, however, is not clear.…

空间物理 · 物理学 2017-05-26 Eugene Engelbrecht , Du Toit Strauss , Kobus le Roux , Adri Burger

Though highly impacting our lives, rotating turbulent flows are not well understood. These anisotropic three-dimensional disordered flows are governed by different nonlinear processes, each of which can be dominant in a different range of…

流体动力学 · 物理学 2026-05-19 Omri Shaltiel , Omri Gat , Eran Sharon

Kinetic physics, including finite Larmor radius (FLR) effects, are known to affect the physics of magnetized plasma phenomena such as the Kelvin-Helmholtz and Rayleigh-Taylor instabilities. Accurately incorporating FLR effects into fluid…

计算物理 · 物理学 2024-08-14 Jack Coughlin , Jingwei Hu , Uri Shumlak

Turbulence modeling is a classical approach to address the multiscale nature of fluid turbulence. Instead of resolving all scales of motion, which is currently mathematically and numerically intractable, reduced models that capture the…

流体动力学 · 物理学 2018-12-10 Rui Fang , David Sondak , Pavlos Protopapas , Sauro Succi

The properties of decaying turbulence is studied with the help of a Generalized Hydrodynamic (GHD) fluid model in the context of two dimensional visco - elastic medium such as a strongly coupled dusty plasma system. For the incompressible…

等离子体物理 · 物理学 2014-03-27 Sanat Kumar Tiwari , Vikram Singh Dharodi , Amita Das , Bhavesh G. Patel , Predhiman Kaw

Fluid turbulence is a far-from-equilibrium phenomenon and remains one of the most challenging problems in physics. Two-dimensional, fully developed turbulence may possess the largest possible symmetry, the conformal symmetry. We focus on…

高能物理 - 理论 · 物理学 2022-10-14 Jun Nian , Xiaoquan Yu , Jinwu Ye

When two nuclei collide close to the speed of light, a fluid state known as the quark-gluon plasma is formed. Attempts to understand the dynamics of this fluid have generated significant research into dissipative relativistic fluid…

核理论 · 物理学 2024-02-21 Nicki Mullins , Mauricio Hippert , Jorge Noronha , Lorenzo Gavassino

The space-filter approach has proved a fundamental tool in studying turbulence in neutral fluids, providing the ability to analyze scale-to-scale energy transfer in configuration space. It is well known that turbulence in plasma presents…

等离子体物理 · 物理学 2020-08-26 S. S. Cerri , E. Camporeale

Accurate prediction of pressure and velocity fluctuations in turbulent flows is essential for understanding flow-induced vibration and structural fatigue. This study investigates the role of turbulence model parameter uncertainty in such…

流体动力学 · 物理学 2025-11-19 Ali Eidi , Richard P. Dwight

Turbulence Models represent the workhorse for simulations used in engineering design and analysis. Despite their low computational cost and robustness, these models suffer from substantial predictive uncertainty, most of which is epistemic.…

流体动力学 · 物理学 2025-09-05 Minghan Chu , Weicheng Qian

I present a review of incompressible magnetohydrodynamic (MHD) turbulence in a strongly magnetised plasma. The approach is phenomenological even where a more rigorous theory is available, so that a reader armed with paper, pencil and some…

星系天体物理 · 物理学 2015-05-14 S. Sridhar

The pressure strain correlation plays a critical role in the Reynolds stress transport modelling. Accurate modelling of the pressure strain correlation leads to proper prediction of turbulence stresses and subsequently the other terms of…

流体动力学 · 物理学 2021-03-02 J P Panda , H V Warrior

Observations of galaxy clusters show that the intracluster medium (ICM) is likely to be turbulent and is certainly magnetized. The properties of this magnetized turbulence are determined both by fundamental nonlinear magnetohydrodynamic…

天体物理学 · 物理学 2008-11-26 A. A. Schekochihin , S. C. Cowley

Turbulence and kinetic processes in magnetized space plasmas have been extensively investigated over the past decades via \emph{in-situ} spacecraft measurements, theoretical models and numerical simulations. In particular, multi-point…

太阳与恒星天体物理 · 物理学 2019-10-15 S. S. Cerri , D. Grošelj , L. Franci

Alfv\'enic-type turbulence in strongly magnetized, low-beta pair plasmas is investigated. A coupled set of equations for the evolution of the magnetic and flow potentials are derived, covering both fluid and kinetic scales. In the fluid…

等离子体物理 · 物理学 2018-10-31 N. F. Loureiro , S. Boldyrev

[ABRIDGED] This paper discusses the importance of parallel perturbations of the magnetic-field in gyrokinetic simulations of electromagnetic instabilities and turbulence at mid-radius in the burning plasma phase of the conceptual…

Turbulent transport is known to limit the plasma confinement of present-day optimized stellarators. To address this issue, a novel method to strongly suppress turbulence in such devices is proposed, namely the resonant wave-particle…

等离子体物理 · 物理学 2020-09-09 Alessandro Di Siena , Alejandro Banon Navarro , Frank Jenko