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.
Magnetisation configuration in ferromagnetic topological insulator superlattices
Abstract: Topological insulators (TIs) are one of the most important recent discoveries in condensed matter physics. Their dissipationless conduction and large spin-orbit coupling make TIs particularly suited for new spin and spin-orbit devices.Control of the surface state is essential if these materials are to be used for new devices.We are interested in producing TI based heterostructures of different materials to enable a high degree of control and tunability of the TI interface. Here we intend tailor the properties of doped TIs through fabrication of superlattices based on layers with different FM dopants. In particular we intend to study if proximity to a Dy-doped interface can suppress low temperature magnetic fluctuations in weakly doped Cr-doped layers. Weakly doped Cr layers exhibit the Quantum Anomalous Hall effect at very low temperatures despite having a TC orders of magnitude higher.
Principal Investigator: Dr Nina-Juliane Steinke
Experimenter: Professor Thorsten Hesjedal
Experimenter: Mr Liam Duffy
Experimenter: Professor Sean Langridge
Experimenter: Professor Gerrit van der Laan
DOI: 10.5286/ISIS.E.RB1820603
ISIS Experiment Number: RB1820603
Part DOI | Instrument | Public release date | Download Link |
---|---|---|---|
10.5286/ISIS.E.101138491 | OFFSPEC | 05 March 2022 | Download |
Publisher: STFC ISIS Neutron and Muon Source
Data format: RAW/Nexus
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Data Citation
The recommended format for citing this dataset in a research
publication is as:
[author], [date], [title], [publisher],
[doi]
For Example:
Dr Nina-Juliane Steinke et al; (2019): Magnetisation configuration in ferromagnetic topological insulator superlattices, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1820603
Data is released under the CC-BY-4.0 license.