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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…

Disordered Systems and Neural Networks · Physics 2026-03-11 Bosiljka Tadic

Barkhausen noise in disordered ferromagnets is typically understood to originate primarily from jerky field-driven motion of domain walls. We study the magnetization reversal process in disordered permalloy thin films using micromagnetic…

Materials Science · Physics 2024-06-21 Sami Kaappa , Lasse Laurson

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,…

Condensed Matter · Physics 2009-10-28 Bosiljka Tadic

The jerky dynamics of domain walls driven by applied magnetic fields in disordered ferromagnets -- the Barkhausen effect -- is a paradigmatic example of crackling noise. We study Barkhausen noise in disordered Pt/Co/Pt thin films due to…

Statistical Mechanics · Physics 2019-03-22 Touko Herranen , Lasse Laurson

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…

Statistical Mechanics · Physics 2009-02-19 Francesca Colaiori

We investigate dynamic hysteresis and Barkhausen noise in ferromagnetic materials with a huge number of parallel and rigid Bloch domain walls. Considering a disordered ferromagnetic system with strong in-plane uniaxial anisotropy and…

Statistical Mechanics · Physics 2015-05-13 B. Cerruti , G. Durin , S. 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…

Materials Science · Physics 2016-08-24 G. Durin , F. Bohn , M. A. Correa , R. L. Sommer , P. Le Doussal , K. J. Wiese

With sintered needles aligned and a magnetic field applied transverse to its easy axis, the rare-earth ferromagnet Nd$_2$Fe$_{14}$B becomes a room-temperature realization of the Random Field Ising Model. The transverse field tunes the…

Disordered Systems and Neural Networks · Physics 2015-02-17 J. Xu , D. M. Silevitch , K. A. Dahmen , T. F. Rosenbaum

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…

Disordered Systems and Neural Networks · Physics 2013-12-30 Alexander Dobrinevski

Crackling noise is a common feature in many dynamic systems [1-9], the most familiar instance of which is the sound made by a sheet of paper when crumpled into a ball. Although seemingly random, this noise contains fundamental information…

Statistical Mechanics · Physics 2015-06-25 Stefano Zapperi , Claudio Castellano , Francesca Colaiori , Gianfranco Durin

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…

Statistical Mechanics · Physics 2009-11-07 Amit P. Mehta , Andrea C. Mills , Karin Dahmen , James P. Sethna

Long-ranged dipole-dipole interactions in magnetic glasses give rise to magnetic domains having labyrinthine patterns. Barkhausen Noise is then expected to result from the movement of domain boundaries which is supposed to be modeled by the…

The field-driven magnetisation reversal processes in disordered systems exhibit a collective behaviour that is manifested in the scale-invariance of avalanches, closely related to underlying dynamical mechanisms. Using the multifractal time…

Disordered Systems and Neural Networks · Physics 2016-02-09 Bosiljka Tadic

We present an experimental study of the changes generated on the electrical resistance $R(T)$ of epitaxial Cr thin films by the transformation of quantized spin density wave domains as the temperature is changed. A characteristic resistance…

Materials Science · Physics 2015-06-12 L. Tosi , E. Osquiguil , E. E. Kaul , C. A. Balseiro

The average shape of the pulse in Barkhausen noise has been recently proposed as a tool to compare models and experiments. We compute theoretically the pulse shape of Barkhausen noise in a model describing the motion of a domain wall in an…

Statistical Mechanics · Physics 2015-06-25 F. Colaiori , S. Zapperi , G. Durin

Recently, the interest on theoretical and experimental studies of dynamic properties of the magnetic domain wall (MDW) of ferromagnetic thin films with disorder placed in an external magnetic field has increased. In order to study global…

Statistical Mechanics · Physics 2013-01-23 M. F. Torres , R. C. Buceta

We discuss a model metallic glass in which Barkhausen Noise can be studied in exquisite detail, free of thermal effects and of the rate of ramping of the magnetic field. The mechanism of the jumps in magnetic moment that cause the…

Statistical Mechanics · Physics 2014-01-20 H. George E. Hentschel , Valery Iliyn , Itamar Procaccia , Bhaskar Sen Gupta

We consider a single-interface model for the description of Barkhausen noise in soft ferromagnetic materials. Previously, the model had been used only in the adiabatic regime of infinitely slow field ramping. We introduce finite driving…

Statistical Mechanics · Physics 2009-11-07 S. L. A. de Queiroz , M. Bahiana

We show that the temporal fluctuations $\Delta H(t)$ of the threshold driving field $H(t)$, which triggers an avalanche in slowly driven disordered ferromagnets with many domains, exhibit long-range correlations in space and time. The…

Statistical Mechanics · Physics 2009-10-31 Bosiljka Tadic

Domain-wall dynamics and spatial fluctuations are closely related to each other and to universal features of disordered systems. Experimentally measured roughness exponents characterizing spatial fluctuations have been reported for magnetic…

Disordered Systems and Neural Networks · Physics 2021-07-09 Lucas J. Albornoz , Pamela C. Guruciaga , Vincent Jeudy , Javier Curiale , Sebastian Bustingorry