Research Data Leeds Repository

Citation

Haltz, Eloi and Franke, Kévin J. A. and Marrows, Christopher H. (2024) Data and code associated with "Dynamics of bistable Neel domain walls under spin-orbit torque". University of Leeds. [Dataset] https://doi.org/10.5518/1474

Dataset description

Data and code associated with "Dynamics of bistable Neel domain walls under spin-orbit torque"

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://doi.org/10.1103/PhysRevB.109.064406 Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	08 Feb 2024 19:46
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1239
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 Haltz, Eloi https://orcid.org/0000-0001-7133-9800 University of Leeds https://ror.org/024mrxd33 ror Université Sorbonne Paris Nord https://ror.org/0199hds37 ror Franke, Kévin J. A. https://orcid.org/0000-0001-9089-9571 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 Type of data: Dataset Research funders: EPSRC Grant numbers: EP/T006803/1 Publication date: 2024 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: c.h.marrows@leeeds.ac.uk Last Modified: 02 Sep 2024 14:37

Files

Documentation

readme.txt [1kB] readme.txt [1kB] readme.txt [1kB] Security: Anyone File name: readme.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 1kB

Data

Code and data [6MB] Code and data [6MB] Code and data [6MB] Security: Anyone File name: meta_data.zip Content type: Data Description: MuMax3 and Python code, output data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 6MB