Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-5558
Authors: Schönke, Daniel
Reeve, Robert M.
Stoll, Hermann
Kläui, Mathias
Title: Quantification of competing magnetic states and switching pathways in curved nanowires by direct dynamic imaging
Online publication date: 21-Jan-2021
Language: english
Abstract: For viable applications, spintronic devices based, for example, on domain wall motion need to be highly reliable with stable magnetization states and highly reproducible switching pathways transforming one state to another. The existence of multiple stable states and switching pathways in a system is a definitive barrier for device operation, yet rare and stochastic events are difficult to detect and understand. We demonstrate an approach to quantify competing magnetic states and stochastic switching pathways based on time-resolved scanning electron microscopy with polarization analysis, applied to the technologically relevant control of vortex domain wall chirality via field and curvature in curved wires. As a pumpprobe technique, our analysis scheme nonetheless allows for the disentanglement of different occurring dynamic pathways, and we can even identify the rare events leading to changes from one magnetization switching pathway to another pathway via temperature- and geometry-dependent measurements. The experimental imaging is supported by micromagnetic simulations to reveal the mechanisms responsible for the change of the pathway. Together the results allow us to explain the origin and details of the domain wall chirality control and to quantify the frequency and the associated energy barriers of thermally activated changes of the states and switching pathways.
DDC: 530 Physik
530 Physics
Institution: Johannes Gutenberg-Universität Mainz
Department: FB 08 Physik, Mathematik u. Informatik
Place: Mainz
ROR: https://ror.org/023b0x485
DOI: http://doi.org/10.25358/openscience-5558
Version: Accepted version
Publication type: Zeitschriftenaufsatz
Document type specification: Scientific article
License: In Copyright
Information on rights of use: https://rightsstatements.org/page/InC/1.0/?language=en
Journal: ACS nano
14
10
Pages or article number: 13324
13332
Publisher: Soc.
Publisher place: Washington, DC
Issue date: 2020
ISSN: 1936-0851
Publisher URL: https://doi.org/10.1021/acsnano.0c05164
Publisher DOI: 10.1021/acsnano.0c05164
Appears in collections:JGU-Publikationen

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