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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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Fangohr, Hans
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (11/11 displayed)
- 2020fmmgen
- 2018Proposal for a micromagnetic standard problem for materials with Dzyaloshinskii–Moriya interactioncitations
- 2016Resonant translational, breathing and twisting modes of pinned transverse magnetic domain wallscitations
- 2012Ultrahard magnetic nanostructurescitations
- 2010Fabrication and simulation of nanostructures for domain wall magnetoresistance studies on nickelcitations
- 2008Numerical investigation of domain walls in constrained geometriescitations
- 2007Geometrical multilayers: coercivity in magnetic 3-D nanostructurescitations
- 2007Analysis of magnetoresistance in arrays of connected nano-ringscitations
- 2007A systematic approach to multiphysics extensions of finite-element-based micromagnetic simulations: Nmagcitations
- 2006Magnetic anisotropy in the cubic Laves REFe2 intermetallic compoundscitations
- 2005Shape-induced anisotropy in antidot arrays from self-assembled templatescitations
Places of action
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article
Analysis of magnetoresistance in arrays of connected nano-rings
Abstract
We study the anisotropic magnetoresistance (AME) of a 2D periodic square array of connected permalloy rings with periodicity of 1m combining experimental and computational techniques. The computational models consists of two parts: 1) the computation of the magnetization and 2) the computation of the current density. For 1), we use standard micromagnetic methods. For 2), we start from a potential difference applied across the sample, compute the resulting electric potential , and subsequently the corresponding current density based on a uniform conductiviy. We take into account the backreaction of the magnetoresistive effects onto the current density by self-consistently computing the current density and conductivity until they converge. We compare the experimentally measured AMR insight into the characteristics of the AMR data. Finally, we demonstrate the importance of taking into account the spatial variation of the current density when computing the AMR.