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.


Rattling-enhanced superconductivity in ScV2Al20 intermetallic cage compounds

Abstract: Conventional superconductors are robust diamagnets that expel magnetic fields through the Meissner effect. It would therefore be unexpected if a superconducting state would support spontaneous magnetics fields. Such broken time-reversal symmetry states have been suggested for the high-temperature superconductors, but their identification remains controversial. Our recent µSR study on the caged type R5Rh6Sn18 (R = Lu, Sc and Y) superconductors reveals TRS broken superconductivity due to strong spin orbit coupling. The interesting physical behaviour that is often observed in cage-type structures frequently originates from the so-called “rattling” effect. Recently Winiarski et. al. reported rattling-enhanced superconductivity in ScV2Al20 with Tc = 1.00 K. We propose to study the role of rattling mode in the superconducting state using ZF and TF muSR measurements on the MUSR spectrometer.

Principal Investigator: Dr Amitava Bhattacharyya
Experimenter: Dr Devashi Adroja
Experimenter: Dr Kartik Panda
Experimenter: Dr Adrian Hillier
Local Contact: Dr Pabitra Biswas

DOI: 10.5286/ISIS.E.RB1720198

ISIS Experiment Number: RB1720198

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.87814507 MUSR 21 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 Amitava Bhattacharyya et al; (2017): Rattling-enhanced superconductivity in ScV2Al20 intermetallic cage compounds, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1720198

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



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