Title:    Asymmetric dual Bloch point domain walls in cylindrical magnetic nanowires: data

Citation
Askey J, Hunt MO, Langbein WW, et al.  (2022). Asymmetric dual Bloch point domain walls in cylindrical magnetic nanowires: data. Cardiff University. https://doi.org/10.17035/d.2022.0199269274

Dataset Details

Publisher: Cardiff University

Date (year) of data becoming publicly available: 2022

Coverage start date: 02/03/2020

Coverage end date: 09/06/2022

Data format: .vtk, .vts, .ipynb, .pvsm, .csv, .txt

Software Required: Paraview, Python Jupyter Notebooks/Lab.

Estimated total storage size of dataset: Less than 10 gigabytes

DOI : 10.17035/d.2022.0199269274

DOI URL: http://doi.org/10.17035/d.2022.0199269274

Description

Cylindrical magnetic nanowires have been studied extensively over past 10 years due to novel domain wall topology and outstanding dynamic properties. Here, Nickel cylindrical magnetic nanowires of varying radii and high aspect ratio are simulated in relaxed and dynamic states using finite-difference micromagnetics. Specifically, this datset concerns a new metastable domain wall type, the asymmetric dual bloch point domain wall (ADBPW) with a novel magnetization texture. The data presents the magnetization textures (surface and volume), the energy densities of typical domain walls and the ADBPW, and the dynamic textures and energies of the ADBPW under externally applied fields. The dataset is organised as follows:

- 'mumax3' folder contains simulation scritps (.txt files) for generating relaxation and dynamic results presented in paper using mumax3. Associated 'adbpw_mumax3_README.txt' explains folder structure and contents.
- 'notebooks' folder contains simulation and data analysis scripts (.ipynb) for ubermag and figure generation. Associated data is contained in appropriate sub-folders. Associated 'adbpw_notebooks_README.txt' file explains folder structure and contents.
- 'states' folder contains .pvsm files which are used in Paraview for viewing .vtk files with specific filters applied. Each state corresponds to a specific figure in the paper, and is named appropriately, along with a name-matched folder containing the underlying .vtk files. 'adbpw_states_README.txt' file contains information on folder structure, contents, how to view the states and .vtk files correctly on local machine, as well as how to convert .ovf files to .vtk files (due to data size constraints on dataset).

Research results based upon these data are published at https://doi.org/10.1063/5.0089291