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.


Local magnetic structures of YBCO high-Tc superconductors from neutron total scattering

Abstract: Understanding high-temperature superconductivity is a major aim of condensed-matter science, which is of fundamental importance and may ultimately allow the design of materials with higher superconducting temperatures. In the superconducting state and its precursor "pseudo-gap" state, magnetic moments (spins) do not form a conventionally-ordered structure. However, they are locally strongly correlated, and these local correlations may be important for superconductivity. We propose to use a combination of neutron total-scattering experiments and atomistic refinement techniques to map the nano-scale spin arrangements in the canonical high-temperature superconductor YBa2Cu3O{6+x} (YBCO). The main aims of proposal are to determine the length-scale of spin correlations, the magnitude and nature of their anisotropy, and whether they show a liquid-crystal-like (nematic) ordering.

Principal Investigator: Dr Joe Paddison
Experimenter: Professor Sian Dutton
Local Contact: Professor David Keen
Experimenter: Dr Michael Gaultois
Experimenter: Mr James Capel

DOI: 10.5286/ISIS.E.RB1720454

ISIS Experiment Number: RB1720454

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.87815585 GEM 06 October 2020 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:
Dr Joe Paddison et al; (2017): Local magnetic structures of YBCO high-Tc superconductors from neutron total scattering, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1720454

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



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