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相关论文: Avalanches, Barkhausen Noise, and Plain Old Critic…

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We study the qualitative and quantitative properties of the Barkhausen noise emerging at finite temperatures in random Ising models. The random-bond Ising Model is studied with a Wolff cluster Monte-Carlo algorithm to monitor the avalanches…

统计力学 · 物理学 2025-05-23 Federico Ettori , Filippo Perani , Stefano Turzi , Paolo Biscari

This is a review article of our work on hysteresis, avalanches, and criticality. We provide an extensive introduction to scaling and renormalization--group ideas, and discuss analytical and numerical results for size distributions,…

材料科学 · 物理学 2009-09-29 James P. Sethna , Karin A. Dahmen , Olga Perkovic

We investigate the scaling properties of the Barkhausen effect, recording the noise in several soft ferromagnetic materials: polycrystals with different grain sizes and amorphous alloys. We measure the Barkhausen avalanche distributions and…

材料科学 · 物理学 2009-10-31 Gianfranco Durin , Stefano Zapperi

Hysteresis, the lag between the force and the response, is often associated with noisy, jerky motion which have recently been called ``avalanches''. The interesting question is why the avalanches come in such a variety of sizes: naively one…

统计力学 · 物理学 2008-02-03 James P. Sethna , Olga Perkovic , Karin A. Dahmen

In order to test if the universal aspects of Barkhausen noise in magnetic materials can be predicted from recent variants of the non-equilibrium zero temperature Random Field Ising Model (RFIM), we perform a quantitative study of the…

统计力学 · 物理学 2009-11-07 Amit P. Mehta , Andrea C. Mills , Karin Dahmen , James P. Sethna

Many systems respond to slowly changing external conditions with crackling noise, created by avalanches or pulses of a broad range of sizes. Examples range from Barkhausen Noise in magnets to earthquakes. Here we discuss how the scaling…

无序系统与神经网络 · 物理学 2009-11-07 R. A. White , K. A. Dahmen

We simulate Barkhausen avalanches on fractal clusters in a two-dimensional diluted Ising ferromagnet with an effective Gaussian random field. We vary the concentration of defect sites $c$ and find a scaling region for moderate disorder,…

凝聚态物理 · 物理学 2009-10-28 Bosiljka Tadic

Crackling noise is observed in many disordered non-equilibrium systems in response to slowly changing external conditions. Examples range from Barkhausen noise in magnets to acoustic emission in martensites to earthquakes. Using the…

统计力学 · 物理学 2009-11-07 A. Travesset , R. A. White , K. A. Dahmen

The demagnetization curve, or initial magnetization curve, is studied by examining the embedded Barkhausen noise using the non-equilibrium, zero temperature random-field Ising model. The demagnetization curve is found to reflect the…

无序系统与神经网络 · 物理学 2009-11-07 John H. Carpenter , Karin A. Dahmen

Many systems crackle, from earthquakes and financial market to Barkhausen effect in ferromagnetic materials. Despite the diversity in essence, the noise emitted in these dynamical systems consists of avalanche-like events with broad range…

We investigate the dimensional crossover of scaling properties of avalanches (domain-wall jumps) in a single-interface model, used for the description of Barkhausen noise in disordered magnets. By varying the transverse aspect ratio…

统计力学 · 物理学 2009-11-10 S. L. A. de Queiroz

We review key experimental and theoretical results on the Barkhausen effect, focusing on the statistical analysis of the noise. We discuss the experimental methods and the material used and review recent measurements. The picture emerging…

材料科学 · 物理学 2009-09-29 Gianfranco Durin , Stefano Zapperi

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

We investigate the statistical properties of the Barkhausen noise in amorphous ferromagnetic films with thicknesses in the range between $100$ and $1000$ nm. From Barkhausen noise time series measured with the traditional inductive…

无序系统与神经网络 · 物理学 2016-08-10 F. Bohn , M. A. Corrêa , M. Carara , S. Papanikolaou , G. Durin , R. L. Sommer

Barkhausen effect in ferromagnetic materials provides an excellent area for investigating scaling phenomena found in disordered systems exhibiting crackling noise. The critical dynamics is characterized by random pulses or avalanches with…

Experimental investigations of the scaling behavior of Barkhausen avalanches in out-of-plane ferromagnetic films yield widely different results for the values of the critical exponents despite similar labyrinthine domain structures,…

无序系统与神经网络 · 物理学 2015-06-03 Andrea Benassi , Stefano Zapperi

Barkhausen noise as found in magnets is studied both with and without the presence of long-range (LR) demagnetizing fields using the non-equilibrium, zero-temperature random-field Ising model. Two distinct subloop behaviors arise and are…

无序系统与神经网络 · 物理学 2009-11-10 John H. Carpenter , Karin A. Dahmen , Andrea C. Mills , Michael B. Weissman , Andreas Berger , Olav Hellwig

The interplay between the critical fluctuations and the sample geometry is investigated numerically using thin random-field ferromagnets exhibiting the field-driven magnetisation reversal on the hysteresis loop. The system is studied along…

无序系统与神经网络 · 物理学 2018-10-17 Bosiljka Tadic , Svetislav Mijatovic , Sanja Janicevic , Djordje Spasojevic , Geoff J. Rodgers

We study Barkhausen noise in a diluted two-dimensional Ising model with the extended domain wall and weak random fields occurring due to coarse graining. We report two types of scaling behavior corresponding to (a) low disorder regime where…

统计力学 · 物理学 2009-10-31 Bosiljka Tadić

For a long time, it has been known that the power spectrum of Barkhausen noise had a power-law decay at high frequencies. Up to now, the theoretical predictions for this decay have been incorrect, or have only applied to a small set of…

无序系统与神经网络 · 物理学 2009-10-31 Matthew C. Kuntz , James P. Sethna
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