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The properties of the turbulence which develops in the outflows of magnetic reconnection have been investigated using self-consistent plasma simulations, in three dimensions. As commonly observed in space plasmas, magnetic reconnection is…

We consider heterostructures consisting of regions with a continuous symmetry in contact with regions wherein the symmetry is spontaneously broken. The low-frequency dynamics of the corresponding order parameter are shown to induce…

介观与纳米尺度物理 · 物理学 2009-11-10 Yaroslav Tserkovnyak , Arne Brataas

Microscale turbulence in porous media is a new physical phenomenon that exhibits unique properties unlike those in classical turbulence flows. At low values of porosity, the surface forces on the solid obstacles compete with the inertial…

流体动力学 · 物理学 2021-08-24 V. Srikanth , C. W. Huang , T. S. Su , A. V. Kuznetsov

We describe an equilibrium state of a rotating trapped atomic condensate, which is characterized by a non-zero internal circulation and spontaneous breaking of the rotational O(2) symmetry with all three major semiaxes of the condensate…

量子气体 · 物理学 2012-11-08 Armen Sedrakian

We investigate a discrete model consisting of self-propelled particles that obey simple interaction rules. We show that this model can self-organize and exhibit coherent localized solutions in one- and in two-dimensions.In one-dimension,…

软凝聚态物质 · 物理学 2009-10-31 Herbert Levine , Wouter-Jan Rappel , Inon Cohen

The spatiotemporal self-organization of viscoresistive magnetohydrodynamics (MHD) in a toroidal geometry is studied. Curl-free toroidal magnetic and electric fields are imposed. It is observed in our simulations that a flow is generated,…

等离子体物理 · 物理学 2015-06-11 Jorge Morales , Wouter Bos , Kai Schneider , David Montgomery

We use three-dimensional numerical simulations to study self-organization in supersonic turbulence in molecular clouds. Our numerical experiments describe decaying and driven turbulent flows with an isothermal equation of state, sonic Mach…

星系天体物理 · 物理学 2014-11-20 Alexei G. Kritsuk , Sergey D. Ustyugov , Michael L. Norman , Paolo Padoan

Through the process of inward diffusion, a strongly localized clump of plasma is created in a magnetosphere. The creation of the density gradient, instead of the usual flattening by a diffusion process, can be explained by the topological…

等离子体物理 · 物理学 2016-02-25 N. Sato , Z. Yoshida , Y. Kawazura

Instabilities of fluid flows often generate turbulence. Using extensive direct numerical simulations, we study two-dimensional turbulence driven by a wavenumber-localised instability superposed on stochastic forcing, in contrast to previous…

流体动力学 · 物理学 2022-12-14 Adrian van Kan , Benjamin Favier , Keith Julien , Edgar Knobloch

The question how complex systems become more organized and efficient with time is open. Examples are, the formation of elementary particles from pure energy, the formation of atoms from particles, the formation of stars and galaxies, the…

物理与社会 · 物理学 2017-01-17 Georgi Georgiev , Atanu Chatterjee , Germano Iannacchione

Magnetic reconnection in an antiparallel uniform Harris current sheet equilibrium, which is initially perturbed by a region of enhanced resistivity limited in all three dimensions, is investigated through compressible magnetohydrodynamic…

天体物理学 · 物理学 2009-10-31 Joerg Schumacher , Bernhard Kliem , Norbert Seehafer

We demonstrate that a system of self-propelled particles (SPP) exhibits spontaneous symmetry breaking and self-organization in one dimension, in contrast with previous analytical predictions. To explain this surprising result we derive a…

统计力学 · 物理学 2007-05-23 Andras Czirok , Albert-Laszlo Barabasi , Tamas Vicsek

Classical Sweet-Parker models of reconnection predict that reconnection rates depend inversely on the resistivity, usually parameterized using the dimensionless Lundquist number ($\Lund$). We describe magnetohydrodynamic (MHD) simulations…

太阳与恒星天体物理 · 物理学 2015-06-11 Jeffrey S. Oishi , Mordecai-Mark Mac Low , David C. Collins , Moeko Tamura

We simulate a two dimensional model of self-propelled particles confined by a deformable boundary. The particles tend to accumulate near the boundary and the shape of the boundary deforms upon the collisions. We find that there are two…

软凝聚态物质 · 物理学 2018-05-18 Wen-de Tian , Yong-kun Guo , Kang Chen , Yu-qiang Ma

Nonlinear dynamics can give rise, via the processes of self-organisation and pattern formation, to the spontaneous manifestation of order in open and complex systems far from equilibrium. Self-organising systems, transforming the inflow of…

材料科学 · 物理学 2023-05-03 M. Gidding , T. Janssen , C. S. Davies , A. Kirilyuk

Self-organization of a long-lived structure is one of the remarkable characteristics of macroscopic systems governed by long-range interactions. In a homogeneous magnetic field, a non-neutral plasma creates a "thermal equilibrium" which is…

等离子体物理 · 物理学 2015-04-28 Naoki Sato , Norikazu Kasaoka , Zensho Yoshida

Spontaneous pattern formation is a phenomenon ubiquitous in nature, examples ranging from Rayleigh-Benard convection to the emergence of complex organisms from a single cell. In physical systems, pattern formation is generally associated…

We observe the spontaneous onset of three-dimensional motion from a quiescent, purely conductive state of a stably stratified fluid in a V-shaped enclosure heated from below, which ultimately self-organizes into a two-dimensional steady…

流体动力学 · 物理学 2024-12-23 Patrick J. Stofanak , Cheng-Nian Xiao , Inanc Senocak

Based on the set of nonlinear coupling equations describing the interaction of the high-frequency field, the self-generated magnetic field and the ion-acoustic field, the dispersion relation for the circular magnetic field is obtained. The…

等离子体物理 · 物理学 2022-10-31 X. L. Liu , X. Q. Li

Energy dissipation in collisionless plasmas is one of the most outstanding open questions in plasma physics. Magnetic reconnection and turbulence are two phenomena that can produce the conditions for energy dissipation. These two phenomena…

等离子体物理 · 物理学 2024-08-07 Jeffersson Andres Agudelo Rueda , Yi-Hsin Liu , Kai Germaschewski , Michael Hesse , Naoki Bessho