Data publication: Mode splitting of spin waves in magnetic nanotubes with discrete symmetries

DOI

This data set contains the numerical raw data for "Mode splitting of spin waves in magnetic nanotubes with discrete symmetries" published in Physical Review B. The data has been obtained using our in-house developed finite-element dynamic-matrix approach for propagating spin waves [see AIP Advances 11, 095006 (2021) for details]. 

The folder high-res-only-k0/ contains the lateral mode profiles and frequencies of polygonal nanotubes with different number of corners at k = 0. It also contains a python script used to calculate the microwave absorption from the mode profiles.
The folders poly_*/ contain only the dispersion without lateral mode profiles for the different polygonal tubes as well as a round nanotube
All folders contain the geometry and mesh files as well as sparam and eparam yaml files containg the material parameters and experimental parameters, respectively. The equilibrium states are saved as m_eq.h5 hdf5 files.

{"references": ["K\u00f6rber, et al., AIP Advances 11, 095006 (2021)"]}

Identifier
DOI https://doi.org/10.14278/rodare.1651
Related Identifier https://doi.org/10.1063/5.0054169
Related Identifier https://doi.org/10.1103/PhysRevB.105.184435
Related Identifier https://doi.org/10.48550/arXiv.2202.06601
Related Identifier https://www.hzdr.de/publications/Publ-34719
Related Identifier https://www.hzdr.de/publications/Publ-34728
Related Identifier https://doi.org/10.14278/rodare.1650
Related Identifier https://rodare.hzdr.de/communities/rodare
Metadata Access https://rodare.hzdr.de/oai2d?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:rodare.hzdr.de:1651
Provenance
Creator Körber, Lukas ORCID logo; Kézsmárki, István; Kakay, Attila (ORCID: 0000-0002-3195-219X)
Publisher Rodare
Publication Year 2022
Rights Creative Commons Attribution 4.0 International; Open Access; https://creativecommons.org/licenses/by/4.0/legalcode; info:eu-repo/semantics/openAccess
OpenAccess true
Contact https://rodare.hzdr.de/support
Representation
Resource Type Dataset
Discipline Life Sciences; Natural Sciences; Engineering Sciences