Research Data Leeds Repository

Citation

Finizio, Simone and Wintz, Sebastian and Mayr, Sina and Huxtable, Alexandra J. and Langer, Manuel and Bailey, Joe and Burnell, Gavin and Marrows, Christopher H. and Raabe, Jörg (2020) Current-induced dynamical tilting of chiral domain walls in curved microwires. University of Leeds. [Dataset] https://doi.org/10.5518/808

Dataset description

We report on the investigation of current-induced domain wall motion of Néel domain walls in perpendicularly magnetized microwires with curved geometries in the flow regime. The investigation was performed by time-resolved scanning transmission X-ray microscopy. In particular, we studied the dynamical tilting of the Néel domain walls, observing that an asymmetric behavior in the domain wall tilt occurs upon an inversion of the polarity of the current pulse driving the motion, an effect not predicted by state-of-the-art theories and micromagnetic modeling.

Keywords:	domain wall; spin-orbit torque; curved magnetic nanowire
Subjects:	F000 - Physical sciences > F300 - Physics > F320 - Chemical physics > F321 - Solid-state physics
Divisions:	Faculty of Engineering and Physical Sciences > School of Physics and Astronomy
Related resources:	Location Type https://eprints.whiterose.ac.uk/159768/ Publication https://doi.org/10.1063/5.0005186 Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	04 May 2020 08:54
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/666
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Finizio, Simone https://orcid.org/0000-0002-1792-0626 Paul Scherrer Institut https://ror.org/03eh3y714 ror Wintz, Sebastian https://orcid.org/0000-0001-6138-8078 Max-Planck-Institut für Intelligente Systeme https://ror.org/04fq9j139 ror Mayr, Sina https://orcid.org/0000-0003-4614-9874 Paul Scherrer Institut https://ror.org/03eh3y714 ror ETH Zurich https://ror.org/05a28rw58 ror Huxtable, Alexandra J. https://orcid.org/0000-0002-1671-3369 University of Leeds https://ror.org/024mrxd33 ror Langer, Manuel Paul Scherrer Institut https://ror.org/03eh3y714 ror Bailey, Joe https://orcid.org/0000-0002-1067-6560 Paul Scherrer Institut https://ror.org/03eh3y714 ror École Polytechnique Fédérale de Lausanne https://ror.org/02s376052 ror Burnell, Gavin https://orcid.org/0000-0002-9486-0639 University of Leeds https://ror.org/024mrxd33 ror Marrows, Christopher H. https://orcid.org/0000-0003-4812-6393 University of Leeds https://ror.org/024mrxd33 ror Raabe, Jörg https://orcid.org/0000-0002-2071-6896 Paul Scherrer Institut https://ror.org/03eh3y714 ror Type of data: Dataset Research funders: EU Grant numbers: 17FUN08TOPS Publication date: 2020 Resource language: English Metadata language: English Research project title: EMPIR-TOPS Publisher: University of Leeds Contact email: c.h.marrows@leeds.ac.uk Last Modified: 19 Dec 2024 16:01

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