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.
Understanding the magnetoresistance of a ferromagnetic metal-semiconductor bilayer
Abstract: Spintronic devices using insulating materials offer new advantages for low-power information technologies. A potential material for such proof-of-principle devices is ferromagnetic EuS, which in contact with conducting ferromagnetic permalloy (Py) exhibits an intriguing multi-level magnetoresistance. There is evidence to suggest that this effect originates from a non-collinear alignment of the magnetisation in the two ferromagnetic layers. To obtain insight to the magnetoelectric behaviour and to find potential pathways for device optimisation, we aim to use polarised neutron reflectometry with polarisation analysis to determine the in-plane canting angle between the magnetisation in the EuS and the Py layers. By measuring this canting we can obtain coupling constants that further describe the complex longitudinal and transverse magnetoresistive response we observe in EuS|Py devices.
Principal Investigator: Dr Naëmi Riccarda Leo
Experimenter: Dr Jorge Puebla
Experimenter: Dr Christy Kinane
Experimenter: Dr Prasanta Muduli
Local Contact: Dr Andrew Caruana
DOI: 10.5286/ISIS.E.RB2220727
ISIS Experiment Number: RB2220727
Part DOI | Instrument | Public release date | Download Link |
---|---|---|---|
10.5286/ISIS.E.RB2220727-1 | POLREF | 13 December 2025 | Download |
10.5286/ISIS.E.RB2220727-2 | POLREF | 20 February 2026 | 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 Naëmi Riccarda Leo et al; (2022): Understanding the magnetoresistance of a ferromagnetic metal-semiconductor bilayer, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB2220727
Data is released under the CC-BY-4.0 license.