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.
Magnetic proximity in Semiconductor- Superconductor -Ferromagnetic epitaxial tri-crystals
Abstract: Topological materials hold promise in quantum information processing as a fault tolerant basis for operations and manipulations of quasiparticles that exist at the material boundaries.An important class of topological states are the so-called Majorana bound states (MBS), which are predicted to exist at the ends of one-dimensional p-wave superconductors.To reach the topological phase, an external magnetic field is used to lift the spin degeneracy in these SE-SU systems, which brings even a larger challenge for realizing scalable quantum-computing platforms. Therefore, it is of interest to integrate materials that are intrinsically topological, ideally without the need for external applied fields. Polarized neutron reflectometry (PNR) is a powerful technique able to provide structural information which will open a new field in the pursue for topological superconducting materials.
Principal Investigator: Professor Peter Krogstrup Jeppesen
Local Contact: Dr Christy Kinane
Experimenter: Professor Kim Lefmann
Experimenter: Dr Alessandra Luchini
Experimenter: Dr Yu Liu
Experimenter: Mr Tobias Særkjær
DOI: 10.5286/ISIS.E.RB1920511
ISIS Experiment Number: RB1920511
Part DOI | Instrument | Public release date | Download Link |
---|---|---|---|
10.5286/ISIS.E.RB1920511-1 | POLREF | 17 February 2023 | 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:
Professor Peter Krogstrup Jeppesen et al; (2020): Magnetic proximity in Semiconductor- Superconductor -Ferromagnetic epitaxial tri-crystals, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1920511
Data is released under the CC-BY-4.0 license.