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Detection of Topological Spin Textures via Nonlinear Magnetic Responses

[Image: see text] Topologically nontrivial spin textures, such as skyrmions and dislocations, display emergent electrodynamics and can be moved by spin currents over macroscopic distances. These unique properties and their nanoscale size make them excellent candidates for the development of next-gen...

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Autores principales: Stepanova, Mariia, Masell, Jan, Lysne, Erik, Schoenherr, Peggy, Köhler, Laura, Paulsen, Michael, Qaiumzadeh, Alireza, Kanazawa, Naoya, Rosch, Achim, Tokura, Yoshinori, Brataas, Arne, Garst, Markus, Meier, Dennis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8759079/
https://www.ncbi.nlm.nih.gov/pubmed/34935368
http://dx.doi.org/10.1021/acs.nanolett.1c02723
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author Stepanova, Mariia
Masell, Jan
Lysne, Erik
Schoenherr, Peggy
Köhler, Laura
Paulsen, Michael
Qaiumzadeh, Alireza
Kanazawa, Naoya
Rosch, Achim
Tokura, Yoshinori
Brataas, Arne
Garst, Markus
Meier, Dennis
author_facet Stepanova, Mariia
Masell, Jan
Lysne, Erik
Schoenherr, Peggy
Köhler, Laura
Paulsen, Michael
Qaiumzadeh, Alireza
Kanazawa, Naoya
Rosch, Achim
Tokura, Yoshinori
Brataas, Arne
Garst, Markus
Meier, Dennis
author_sort Stepanova, Mariia
collection PubMed
description [Image: see text] Topologically nontrivial spin textures, such as skyrmions and dislocations, display emergent electrodynamics and can be moved by spin currents over macroscopic distances. These unique properties and their nanoscale size make them excellent candidates for the development of next-generation race-track memory and unconventional computing. A major challenge for these applications and the investigation of nanoscale magnetic structures in general is the realization of suitable detection schemes. We study magnetic disclinations, dislocations, and domain walls in FeGe and reveal pronounced responses that distinguish them from the helimagnetic background. A combination of magnetic force microscopy (MFM) and micromagnetic simulations links the response to the local magnetic susceptibility, that is, characteristic changes in the spin texture driven by the MFM tip. On the basis of the findings, which we explain using nonlinear response theory, we propose a read-out scheme using superconducting microcoils, presenting an innovative approach for detecting topological spin textures and domain walls in device-relevant geometries.
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spelling pubmed-87590792022-01-18 Detection of Topological Spin Textures via Nonlinear Magnetic Responses Stepanova, Mariia Masell, Jan Lysne, Erik Schoenherr, Peggy Köhler, Laura Paulsen, Michael Qaiumzadeh, Alireza Kanazawa, Naoya Rosch, Achim Tokura, Yoshinori Brataas, Arne Garst, Markus Meier, Dennis Nano Lett [Image: see text] Topologically nontrivial spin textures, such as skyrmions and dislocations, display emergent electrodynamics and can be moved by spin currents over macroscopic distances. These unique properties and their nanoscale size make them excellent candidates for the development of next-generation race-track memory and unconventional computing. A major challenge for these applications and the investigation of nanoscale magnetic structures in general is the realization of suitable detection schemes. We study magnetic disclinations, dislocations, and domain walls in FeGe and reveal pronounced responses that distinguish them from the helimagnetic background. A combination of magnetic force microscopy (MFM) and micromagnetic simulations links the response to the local magnetic susceptibility, that is, characteristic changes in the spin texture driven by the MFM tip. On the basis of the findings, which we explain using nonlinear response theory, we propose a read-out scheme using superconducting microcoils, presenting an innovative approach for detecting topological spin textures and domain walls in device-relevant geometries. American Chemical Society 2021-12-22 2022-01-12 /pmc/articles/PMC8759079/ /pubmed/34935368 http://dx.doi.org/10.1021/acs.nanolett.1c02723 Text en © 2021 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Stepanova, Mariia
Masell, Jan
Lysne, Erik
Schoenherr, Peggy
Köhler, Laura
Paulsen, Michael
Qaiumzadeh, Alireza
Kanazawa, Naoya
Rosch, Achim
Tokura, Yoshinori
Brataas, Arne
Garst, Markus
Meier, Dennis
Detection of Topological Spin Textures via Nonlinear Magnetic Responses
title Detection of Topological Spin Textures via Nonlinear Magnetic Responses
title_full Detection of Topological Spin Textures via Nonlinear Magnetic Responses
title_fullStr Detection of Topological Spin Textures via Nonlinear Magnetic Responses
title_full_unstemmed Detection of Topological Spin Textures via Nonlinear Magnetic Responses
title_short Detection of Topological Spin Textures via Nonlinear Magnetic Responses
title_sort detection of topological spin textures via nonlinear magnetic responses
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8759079/
https://www.ncbi.nlm.nih.gov/pubmed/34935368
http://dx.doi.org/10.1021/acs.nanolett.1c02723
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