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We obtain an exact solution for the motion of a particle driven by a spring in a Brownian random-force landscape, the Alessandro-Beatrice-Bertotti-Montorsi (ABBM) model. Many experiments on quasi-static driving of elastic interfaces…

无序系统与神经网络 · 物理学 2012-05-18 Alexander Dobrinevski , Pierre Le Doussal , Kay Jörg Wiese

We review the present state of understanding of the Barkhausen effect in soft ferromagnetic materials. Barkhausen noise (BN) is generated by the discontinuous motion of magnetic domains as they interact with impurities and defects. BN is…

统计力学 · 物理学 2009-02-19 Francesca Colaiori

We study the motion of an elastic object driven in a disordered environment in presence of both dissipation and inertia. We consider random forces with the statistics of random walks and reduce the problem to a single degree of freedom. It…

无序系统与神经网络 · 物理学 2013-08-22 Pierre Le Doussal , Aleksandra Petkovic , Kay Jörg Wiese

We study the Brownian force model (BFM), a solvable model of avalanche statistics for an interface, in a general discrete setting. The BFM describes the overdamped motion of elastically coupled particles driven by a parabolic well in…

无序系统与神经网络 · 物理学 2015-12-23 Thimothée Thiery , Pierre Le Doussal , Kay Jörg Wiese

We consider the amount of energy dissipated during individual avalanches at the depinning transition of disordered and athermal elastic systems. Analytical progress is possible in the case of the Alessandro-Beatrice-Bertotti-Montorsi (ABBM)…

统计力学 · 物理学 2018-04-20 Reinaldo García-García

Several years ago, in the context of the physics of hysteresis in magnetic materials, a simple stochastic model has been introduced: the ABBM model. Later, the ABBM model has been advocated as a paradigm for a broad class of diverse…

统计力学 · 物理学 2021-10-05 Andrea Baldassarri

Elastic systems, such as magnetic domain walls, density waves, contact lines, and cracks, are all pinned by substrate disorder. When driven, they move via successive jumps called avalanches, with power law distributions of size, duration…

无序系统与神经网络 · 物理学 2015-06-22 Alexander Dobrinevski , Pierre Le Doussal , Kay Jörg Wiese

We study a more general class of the Alessandro-Beatrice-Bertotti-Montorsi (AMMB) models with velocity-dependent dissipation. We obtain the Fokker-Planck equation describing the evolution of an arbitrary initial probability distribution,…

无序系统与神经网络 · 物理学 2014-07-09 Ka Sin Jamie Wong

The Brownian force model (BFM) is the mean-field model for the avalanches of an elastic interface slowly driven in a random medium. It describes the spatio-temporal statistics of the velocity field, and, to some extent is analytically…

统计力学 · 物理学 2022-03-23 Pierre Le Doussal

Slowly driven elastic interfaces, such as domain walls in dirty magnets, contact lines, or cracks proceed via intermittent motion, called avalanches. We develop a field-theoretic treatment to calculate, from first principles, the space-time…

无序系统与神经网络 · 物理学 2013-08-22 Pierre Le Doussal , Kay Joerg Wiese

In this thesis I discuss analytical approaches to disordered systems using field theory. Disordered systems are characterized by a random energy landscape due to heterogeneities, which remains fixed on the time scales of the phenomena…

无序系统与神经网络 · 物理学 2013-12-30 Alexander Dobrinevski

Recently, we introduced the active Dyson Brownian motion model (DBM), in which $N$ run-and-tumble particles interact via a logarithmic repulsive potential in the presence of a harmonic well. We found that in a broad range of parameters the…

统计力学 · 物理学 2024-11-08 Leo Touzo , Pierre Le Doussal , Gregory Schehr

This study numerically investigates magnetisation reversal processes driven by an external magnetic field in three-dimensional antiferromagnetic spin models with weak random field disorder. Considering an extremely weak disorder and low…

无序系统与神经网络 · 物理学 2026-03-11 Bosiljka Tadic

The Brownian force model (BFM) is a mean-field model for the local velocities during avalanches in elastic interfaces of internal space dimension $d$, driven in a random medium. It is exactly solvable via a non-linear differential equation.…

无序系统与神经网络 · 物理学 2016-06-01 Mathieu Delorme , Pierre Le Doussal , Kay Jörg Wiese

We report the measurement of multivariable scaling functions for the temporal average shape of Barkhausen noise avalanches, and show that they are consistent with the predictions of simple mean-field theories. We bypass the confounding…

无序系统与神经网络 · 物理学 2011-08-12 Stefanos Papanikolaou , Felipe Bohn , Rubem L. Sommer , Gianfranco Durin , Stefano Zapperi , James P. Sethna

Motivated by the anomalous diffusion observed in clusters of active Brownian particles (ABPs), where the center-of-mass diffusion coefficient scales as $D\sim N^{-1/2}$ with respect to the number $N$ of particles in the cluster, we derive a…

统计力学 · 物理学 2026-05-07 Daniela Moretti , Pasquale Digregorio , Giuseppe Gonnella , Antonio Suma

We study the energy minimization problem for an elastic interface in a random potential plus a quadratic well. As the position of the well is varied, the ground state undergoes jumps, called shocks or static avalanches. We introduce an…

无序系统与神经网络 · 物理学 2015-06-03 Pierre Le Doussal , Kay Joerg Wiese

We provide the first quantitative comparison between Barkhausen-noise experiments and recent predictions from the theory of avalanches for pinned interfaces, both in and beyond mean-field. We study different classes of soft magnetic…

材料科学 · 物理学 2016-08-24 G. Durin , F. Bohn , M. A. Correa , R. L. Sommer , P. Le Doussal , K. J. Wiese

A damped chain of particles with harmonic nearest-neighbor interactions in a spatially periodic, piecewise harmonic potential (Frenkel-Kontorova model) is studied numerically. One end of the chain is pulled slowly which acts as a weak…

chao-dyn · 物理学 2009-10-22 Franz-Josef Elmer

We point out that the mean-field theory of avalanches in the dynamics of elastic interfaces, the so-called Brownian force model (BFM) developed recently in non-equilibrium statistical physics, is equivalent to the so-called super-Brownian…

统计力学 · 物理学 2022-09-28 Pierre Le Doussal
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