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.


Phase separation and magnetic polarons in colossal magnetoresistance systems

Abstract: A ubiquitous characteristic of colossal magnetoresistance (CMR) materials with competing interactions is a rich phase diagram, in which many phases exhibit intrinsic (i.e. electronic, and nonchemical) phase separation, often leading to transitions that are percolative in nature. Indeed, nanoscale electronic phase separation is thought to play a crucial role in the emergence of CMR, as well as in the suppression of critical dynamics in quantum phase transitions. Here we propose muSR measurements on two systems exhibiting a CMR effect: HgCr2Se4 and Eu5In2Sb6. Both materials show magnetic transitions coupled to electronic properties that vary over an extended temperature regime, which are likely to reflect phase separation, slow magnetic dynamics and the possibility of emergent magnetic polaron states.

Principal Investigator: Professor Tom Lancaster
Experimenter: Dr Murray Wilson
Experimenter: Dr Benjamin Huddart
Experimenter: Dr Thomas Hicken
Experimenter: Professor Stephen Blundell
Local Contact: Dr Francis Pratt
Experimenter: Mr Alberto Hernandez Melian

DOI: 10.5286/ISIS.E.RB2010313

ISIS Experiment Number: RB2010313

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.RB2010313-1 EMU 16 October 2023 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:
Professor Tom Lancaster et al; (2020): Phase separation and magnetic polarons in colossal magnetoresistance systems, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB2010313

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



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