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.
Proving ground-state ordering in Artificial Spin-Ice systems formed by sub-100 nm nanomangets by means of PNR
Abstract: The main purpose of the experiment proposed here is to study the effects of thermalisation on Artificial Spin-Ice (ASI) systems formed by nanomagnets with sub-100 nm lateral dimensions, by means of Polarized Neutron Reflectivity (PNR) analysis on different Bragg peaks. With this experiment we will be able to prove the existence of ground-state ordering in sub-100 nm ASI systems, as well as to quantitatively determine the disorder (deviation from ground-state) for any magnetization configuration present in the ASI pattern. These measurements will be the first-ever proof of the existence of ground-state ordering in sub-100 nm ASI systems, as current imaging techniques used so far to image ASI systems are beyond the resolution limit for such small nanomangets.
Principal Investigator: Dr Jose Maria Porro Azpiazu
Experimenter: Professor Sean Langridge
Experimenter: Miss Sophie Morley
Experimenter: Dr Jos Cooper
Experimenter: Professor Christopher Marrows
Experimenter: Dr Diego Alba Venero
Local Contact: Dr Nina-Juliane Steinke
Experimenter: Dr Jose Maria Porro Azpiazu
DOI: 10.5286/ISIS.E.RB1610510
ISIS Experiment Number: RB1610510
Part DOI | Instrument | Public release date | Download Link |
---|---|---|---|
10.5286/ISIS.E.79111932 | OFFSPEC | 13 May 2019 | Download |
10.5286/ISIS.E.81929735 | OFFSPEC | 30 July 2019 | 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 Jose Maria Porro Azpiazu et al; (2016): Proving ground-state ordering in Artificial Spin-Ice systems formed by sub-100 nm nanomangets by means of PNR, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1610510
Data is released under the CC-BY-4.0 license.