| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Laurson, Lasse
Tampere University
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (19/19 displayed)
- 2024Magnetic domain wall dynamics studied by in-situ lorentz microscopy with aid of custom-made Hall-effect sensor holdercitations
- 2024Barkhausen noise in disordered striplike ferromagnetscitations
- 2024Magnetic domain walls interacting with dislocations in micromagnetic simulationscitations
- 2024Magnetic behavior of steel studied by in-situ Lorentz microscopy, magnetic force microscopy and micromagnetic simulations
- 2024Barkhausen noise in disordered striplike ferromagnets : Experiment versus simulationscitations
- 2023Machine learning dislocation density correlations and solute effects in Mg-based alloyscitations
- 2023Predicting elastic and plastic properties of small iron polycrystals by machine learningcitations
- 2023Multi-instrumental approach to domain walls and their movement in ferromagnetic steels – Origin of Barkhausen noise studied by microscopy techniquescitations
- 2022Novel utilization of microscopy and modelling to better understand Barkhausen noise signal
- 2021Mimicking Barkhausen noise measurement by in-situ transmission electron microscopy - effect of microstructural steel features on Barkhausen noisecitations
- 2020Propagating bands of plastic deformation in a metal alloy as critical avalanchescitations
- 2020Machine learning depinning of dislocation pileupscitations
- 2019Bloch-line dynamics within moving domain walls in 3D ferromagnetscitations
- 2018Effects of precipitates and dislocation loops on the yield stress of irradiated ironcitations
- 2016Predicting sample lifetimes in creep fracture of heterogeneous materialscitations
- 2016Glassy features of crystal plasticitycitations
- 2014Influence of material defects on current-driven vortex domain wall mobilitycitations
- 2013A numerical approach to incorporate intrinsic material defects in micromagnetic simulations
- 2013Influence of disorder on vortex domain wall mobility in magnetic nanowires
Places of action
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document
Influence of disorder on vortex domain wall mobility in magnetic nanowires
Abstract
A large amount of future spintronic devices is based on the control of the static and dynamic properties of magnetic domain walls in magnetic nanowires.For these applications, understanding the domain wall mobility under the action of spin polarized currents is of paramount importance. Numerous studies describe the spin-current driven domain wall motion in nanowires with ideal material properties, while only some authors take into account the influence of the nanowire edge roughness [1].In this contribution we numerically investigate the influence of distributed disorder on the vortex domain wall mobility in Permalloy nanowires.To this aim, we use the GPU based micromagnetic software package MuMax[2] to simulate the propagation of vortex domain walls in nanowires with cross sectional dimensions of 400x10 nm². We apply spin polarized currents acting on the domain wall by means of the Spin Transfer Torque (STT) mechanism, considering a system with perfect adiabaticity (β=0) and with non-adiabatic STT contributions (β=α and β=2α, α is the Gilbert damping).As in [3], the disorder is simulated as a random distribution of 3.125x3.125nm² sized voids.For each current value, average domain wall velocities are computed considering 25 different realisations of the disorder.We find that even very small disorder concentrations have a huge impact on the domain wall mobility.In the non-adiabatic case (β=2α), the domain wall velocity is largely suppressed below the Walker breakdown since the disorder is able to pin the vortex structure hindering the formation of the transverse domain wall, characteristic to the movement in this current region. In the adiabatic case (β=0), the intrinsic depinning threshold is largely reduced. Even very small disorder densities disable the domain wall to internally balance the Landau-Lifshitz-Gilbert torques with the STT torques, resulting in a non-zero domain wall speed. At low currents, the disorder pins the domain wall structure.