| 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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article
Influence of material defects on current-driven vortex domain wall mobility
Abstract
Many future concepts for spintronic devices are based on the current-driven motion of magnetic domain walls through nanowires. Consequently a thorough understanding of the domain wall mobility is required. However, the magnitude of the nonadiabatic component of the spin-transfer torque driving the domain wall is still debated today as various experimental methods give rise to a large range of values for the degree of nonadiabaticity. Strikingly, experiments based on vortex domain wall motion in magnetic nanowires consistently result in lower values compared to other methods. Based on the micromagnetic simulations presented in this contribution we can attribute this discrepancy to the influence of distributed disorder which vastly affects the vortex domain wall mobility, but is most often not taken into account in the models adopted to extract the degree of nonadiabaticity.