Direct Visualisation of Skyrmion Lattice Defect Alignment at Grain Boundaries
Abstract We present a method to directly visualise a statistical analysis of skyrmion defect alignment at grain boundaries in the skyrmion host $$\hbox {Cu}_2$$ Cu 2 OSeO3. Using Lorentz transmission electron microscopy, we collected large data sets with several hundreds of frames containing skyrmio...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2022-01-01
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| Series: | Nanoscale Research Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s11671-022-03654-y |
| _version_ | 1797765662425219072 |
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| author | Thomas Schönenberger Ping Huang Lawrence D. Brun Li Guanghao Arnaud Magrez Fabrizio Carbone Henrik M. Rønnow |
| author_facet | Thomas Schönenberger Ping Huang Lawrence D. Brun Li Guanghao Arnaud Magrez Fabrizio Carbone Henrik M. Rønnow |
| author_sort | Thomas Schönenberger |
| collection | DOAJ |
| description | Abstract We present a method to directly visualise a statistical analysis of skyrmion defect alignment at grain boundaries in the skyrmion host $$\hbox {Cu}_2$$ Cu 2 OSeO3. 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. |
| first_indexed | 2024-03-12T20:14:19Z |
| format | Article |
| id | doaj.art-1ad10a7ba63d43989f42c60d136d1e40 |
| institution | Directory Open Access Journal |
| issn | 1556-276X |
| language | English |
| last_indexed | 2024-03-12T20:14:19Z |
| publishDate | 2022-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Nanoscale Research Letters |
| spelling | doaj.art-1ad10a7ba63d43989f42c60d136d1e402023-08-02T01:26:29ZengSpringerOpenNanoscale Research Letters1556-276X2022-01-011711610.1186/s11671-022-03654-yDirect Visualisation of Skyrmion Lattice Defect Alignment at Grain BoundariesThomas Schönenberger0Ping Huang1Lawrence D. Brun2Li Guanghao3Arnaud Magrez4Fabrizio Carbone5Henrik M. Rønnow6Laboratory for Quantum Magnetism (LQM), Institute of Physics, École Polytechnique Fédérale de Lausanne (EPFL)State Key Laboratory for Mechanical Behavior of Materials, Xi’an Jiaotong UniversityLaboratory for Quantum Magnetism (LQM), Institute of Physics, École Polytechnique Fédérale de Lausanne (EPFL)Laboratory for Quantum Magnetism (LQM), Institute of Physics, École Polytechnique Fédérale de Lausanne (EPFL)Laboratory for Quantum Magnetism (LQM), Institute of Physics, École Polytechnique Fédérale de Lausanne (EPFL)Laboratory for Quantum Magnetism (LQM), Institute of Physics, École Polytechnique Fédérale de Lausanne (EPFL)Laboratory for Quantum Magnetism (LQM), Institute of Physics, École Polytechnique Fédérale de Lausanne (EPFL)Abstract We present a method to directly visualise a statistical analysis of skyrmion defect alignment at grain boundaries in the skyrmion host $$\hbox {Cu}_2$$ Cu 2 OSeO3. 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.https://doi.org/10.1186/s11671-022-03654-yLorentz transmission electron microscopyDislocationsSkyrmionsDefectsGrain boundaries |
| spellingShingle | Thomas Schönenberger Ping Huang Lawrence D. Brun Li Guanghao Arnaud Magrez Fabrizio Carbone Henrik M. Rønnow Direct Visualisation of Skyrmion Lattice Defect Alignment at Grain Boundaries Nanoscale Research Letters Lorentz transmission electron microscopy Dislocations Skyrmions Defects 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 | Lorentz transmission electron microscopy Dislocations Skyrmions Defects Grain boundaries |
| url | https://doi.org/10.1186/s11671-022-03654-y |
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