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Direct Visualisation of Skyrmion Lattice Defect Alignment at Grain Boundaries
We present a method to directly visualise a statistical analysis of skyrmion defect alignment at grain boundaries in the skyrmion host [Formula: see text] OSeO(3). Using Lorentz transmission electron microscopy, we collected large data sets with several hundreds of frames containing skyrmion lattice...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799828/ https://www.ncbi.nlm.nih.gov/pubmed/35089439 http://dx.doi.org/10.1186/s11671-022-03654-y |
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author | Schönenberger, Thomas Huang, Ping Brun, Lawrence D. Guanghao, Li Magrez, Arnaud Carbone, Fabrizio Rønnow, Henrik M. |
author_facet | Schönenberger, Thomas Huang, Ping Brun, Lawrence D. Guanghao, Li Magrez, Arnaud Carbone, Fabrizio Rønnow, Henrik M. |
author_sort | Schönenberger, Thomas |
collection | PubMed |
description | We present a method to directly visualise a statistical analysis of skyrmion defect alignment at grain boundaries in the skyrmion host [Formula: see text] OSeO(3). Using Lorentz transmission electron microscopy, we collected large data sets with several hundreds of frames containing skyrmion lattices with grain boundaries in them. To address the behaviour of strings of dislocations in these grain boundaries, we developed an algorithm to automatically extract and classify strings of dislocations separating the grains. This way we circumvent the problem of having to create configurations with well-defined relative grain orientations by performing a statistical analysis on a dynamically rearranging image sequence. With this statistical method, we are able to experimentally extract the relationship between grain boundary alignment and defect spacing and find an agreement with geometric expectations. The algorithms used can be extended to other types of lattices such as Abrikosov lattices or colloidal systems in optical microscopy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s11671-022-03654-y. |
format | Online Article Text |
id | pubmed-8799828 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-87998282022-02-02 Direct Visualisation of Skyrmion Lattice Defect Alignment at Grain Boundaries Schönenberger, Thomas Huang, Ping Brun, Lawrence D. Guanghao, Li Magrez, Arnaud Carbone, Fabrizio Rønnow, Henrik M. Nanoscale Res Lett Nano Express We present a method to directly visualise a statistical analysis of skyrmion defect alignment at grain boundaries in the skyrmion host [Formula: see text] OSeO(3). Using Lorentz transmission electron microscopy, we collected large data sets with several hundreds of frames containing skyrmion lattices with grain boundaries in them. To address the behaviour of strings of dislocations in these grain boundaries, we developed an algorithm to automatically extract and classify strings of dislocations separating the grains. This way we circumvent the problem of having to create configurations with well-defined relative grain orientations by performing a statistical analysis on a dynamically rearranging image sequence. With this statistical method, we are able to experimentally extract the relationship between grain boundary alignment and defect spacing and find an agreement with geometric expectations. The algorithms used can be extended to other types of lattices such as Abrikosov lattices or colloidal systems in optical microscopy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s11671-022-03654-y. Springer US 2022-01-28 /pmc/articles/PMC8799828/ /pubmed/35089439 http://dx.doi.org/10.1186/s11671-022-03654-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Nano Express Schönenberger, Thomas Huang, Ping Brun, Lawrence D. Guanghao, Li Magrez, Arnaud Carbone, Fabrizio Rønnow, Henrik M. Direct Visualisation of Skyrmion Lattice Defect Alignment at Grain Boundaries |
title | Direct Visualisation of Skyrmion Lattice Defect Alignment at Grain Boundaries |
title_full | Direct Visualisation of Skyrmion Lattice Defect Alignment at Grain Boundaries |
title_fullStr | Direct Visualisation of Skyrmion Lattice Defect Alignment at Grain Boundaries |
title_full_unstemmed | Direct Visualisation of Skyrmion Lattice Defect Alignment at Grain Boundaries |
title_short | Direct Visualisation of Skyrmion Lattice Defect Alignment at Grain Boundaries |
title_sort | direct visualisation of skyrmion lattice defect alignment at grain boundaries |
topic | Nano Express |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799828/ https://www.ncbi.nlm.nih.gov/pubmed/35089439 http://dx.doi.org/10.1186/s11671-022-03654-y |
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