ISIS Neutron and Muon Source Data Journal

This is a page describing data taken during an experiment at the ISIS Neutron and Muon Source. Information about the ISIS Neutron and Muon Source can be found at https://www.isis.stfc.ac.uk.


Possible Flat Magnon Band and Dirac Magnon in FeSn

Abstract: Two-dimensional (2D) layered Kagome compounds are of great interest because they serve as platforms for studying not only frustrated magnetism hosting possible novel quantum phases, say, valence bond state and quantum spin liquids, but also topological phases that realize flat bands, or Dirac bands, or even both. The Kagome magnetic compounds show great potential to host Dirac magnons or flat bands which can be detected by neutron scattering. Because Kagome lattice lack inversion symmetry, we expect the presence of nearest neighbor DM interactions, which may open a spin gap near the Dirac point similar to CrI3. However, the spin-orbit coupling of the system is not large in FeSn, it is therefore interesting to completely map out spin waves of the system and determine the possible presence of an anisotropic gap, Dirac magnon, and flat band features.

Principal Investigator: Professor Pengcheng Dai
Experimenter: Miss Pengling Dai
Experimenter: Miss Ruixian Liu
Local Contact: Dr Ross Stewart
Experimenter: Mr Tong Chen
Experimenter: Dr Xingye Lu
Experimenter: Mr Yaofeng Xie

DOI: 10.5286/ISIS.E.RB2010593

ISIS Experiment Number: RB2010593

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.RB2010593-1 MAPS 01 May 2024 Download

Publisher: STFC ISIS Neutron and Muon Source

Data format: RAW/Nexus
Select the data format above to find out more about it.

Data Citation

The recommended format for citing this dataset in a research publication is as:
[author], [date], [title], [publisher], [doi]

For Example:
Professor Pengcheng Dai et al; (2020): Possible Flat Magnon Band and Dirac Magnon in FeSn, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB2010593

Data is released under the CC-BY-4.0 license.



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