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相关论文: Coarse-Grained Incompressible Magnetohydrodynamics…

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Coarse-graining or model reduction is a term describing a range of approaches used to extend the time-scale of molecular simulations by reducing the number of degrees of freedom. In the context of molecular simulation, standard…

动力系统 · 数学 2023-11-14 Thomas Hudson , Xingjie Helen Li

We present a novel thermodynamically guided, low-noise, time-scale bridging, and pertinently efficient strategy for the dynamic simulation of microscopic models for complex fluids. The systematic coarse-graining method is exemplified for…

软凝聚态物质 · 物理学 2010-11-12 Patrick Ilg , Hans Christian Öttinger , Martin Kröger

We study the relativistic hydrodynamics with chiral anomaly and dynamical electromagnetic fields, namely Chiral MagnetoHydroDynamics (CMHD). We formulate CMHD as a low-energy effective theory based on a generalized derivative expansion. We…

高能物理 - 理论 · 物理学 2019-12-20 Koichi Hattori , Yuji Hirono , Ho-Ung Yee , Yi Yin

This paper focuses on the 2D compressible magnetohydrodynamic (MHD) equations without magnetic diffusion in a periodic domain. We present a systematic approach to establishing the global existence of smooth solutions when the initial data…

偏微分方程分析 · 数学 2022-06-22 Jiahong Wu , Yi Zhu

We present a promising coarse-graining strategy for linking micro- and mesoscales of soft matter systems. The approach is based on effective pairwise interaction potentials obtained from detailed atomistic molecular dynamics (MD)…

软凝聚态物质 · 物理学 2007-05-23 A. P. Lyubartsev , M. Karttunen , I. Vattulainen , A. Laaksonen

When magnetohydrodynamic turbulence evolves in the presence of a large-scale mean magnetic field, an anisotropy develops relative to that preferred direction. The well-known tendency is to develop stronger gradients perpendicular to the…

等离子体物理 · 物理学 2020-07-15 Rohit Chhiber , William H. Matthaeus , Sean Oughton , Tulasi N. Parashar

In this paper, we study the well-posedness of boundary layer problems for the inhomogeneous incompressible magnetohydrodynamics(MHD) equations, which are derived from the two dimensional density-dependent incompressible MHD equations.Under…

偏微分方程分析 · 数学 2018-12-18 Jincheng Gao , Daiwen Huang , Zheng-an Yao

The set of equations for magnetohydrodynamic (MHD) waves in a shear flow is consecutively derived. The proposed scenario involves the presence of a self-sustained turbulence and magnetic field. In the framework of Langevin--Burgers approach…

天体物理学 · 物理学 2009-05-27 T. M. Mishonov , Y. G. Maneva , Z. D. Dimitrov , T. S. Hristov

Rigorous theories of the tearing instability are mathematically quite involving. Therefore, the present note aims to demonstrate how their main results can be reproduced by a simple qualitative analysis of the respective magnetohydrodynamic…

等离子体物理 · 物理学 2018-09-18 Grigory Vekstein

Compressible vortex sheets are fundamental waves in entropy solutions to the multidimensional hyperbolic systems of conservation laws. For the Euler equations in 2-D gas dynamics, the classical linearized stability analysis on compressible…

偏微分方程分析 · 数学 2007-05-23 Gui-Qiang Chen , Ya-Guang Wang

Modelling micro- and meso-scopic scale thermodynamic and transport properties of soft condensed matter hinges upon its representation. This is especially relevant for polar solvents such as water, since these require effective…

软凝聚态物质 · 物理学 2026-04-17 Michael A. Seaton , Benjamin T. Speake , Ilian T. Todorov

Magnetohydrodynamics (MHD) is a subject concerned with the dynamics of electrically conducting fluids (plasma) and can be applied in electric power generation. As a unique technology for producing direct-current electricity without moving…

等离子体物理 · 物理学 2023-12-15 Osama A. Marzouk

Two-dimensional magnetohydrodynamics (2D MHD), forced at (a) large length scales or (b) small length scales, displays turbulent, but statistically steady, states with widely different statistical properties. We present a systematic,…

流体动力学 · 物理学 2019-06-27 Debarghya Banerjee , Rahul Pandit

We present a new analysis of the anisotropic spectral energy distribution in incompressible magnetohydrodynamic (MHD) turbulence permeated by a strong mean magnetic field. The turbulent flow is generated by high-resolution pseudo-spectral…

等离子体物理 · 物理学 2015-05-19 Roland Grappin , Wolf-Christian Müller

In astrophysical shear flows, the Kelvin-Helmholtz (KH) instability is generally suppressed by magnetic tension provided a sufficiently strong streamwise magnetic field. This is often used to infer upper (or lower) bounds on field strengths…

流体动力学 · 物理学 2026-02-04 Adrian E. Fraser , Alexis K. Kaminski , Jeffrey S. Oishi

This paper is concerned with existence of solutions to the incompressible non-resistive viscous magnetohydrodynamic (MHD) equations with large initial perturbations in there-dimensional (3D) periodic domains (in Lagrangian coordinates).…

偏微分方程分析 · 数学 2021-11-19 Fei Jiang , Song Jiang

We analyze the decay laws of the kinetic and magnetic energies and the evolution of correlation lengths in freely decaying incompressible magnetohydrodynamic (MHD) turbulence. Scale invariance of MHD equations assures that, in the case of…

天体物理学 · 物理学 2009-11-10 Leonardo Campanelli

In this work we numerically test a model of Hall magnetohydrodynamics in the presence of a strong mean magnetic field, the reduced Hall MHD model (RHMHD) derived by Gomez et al., with the addition of weak compressible effects. The main…

等离子体物理 · 物理学 2012-02-28 L. N. Martin , P. Dmitruk , D. O. Gomez

Magneto-hydrodynamics is one of the foremost models in plasma physics with applications in inertial confinement fusion, astrophysics and elsewhere. Advanced numerical methods are needed to get an insight into the complex physical phenomena.…

计算物理 · 物理学 2022-03-29 Jan Nikl , Milan Kuchařík , Stefan Weber

On the framework of relativistic force-free magnetohydrodynamic (MHD) turbulence, we explore the fundamental properties of strong and weak turbulent cascades using high-resolution numerical simulations in the presence of a uniform…

高能天体物理现象 · 物理学 2026-01-14 Na-Na Gao , Jian-Fu Zhang , Jungyeon Cho