Spatially dispersing Yu-Shiba-Rusinov states in the unconventional superconductor FeTe0.55Se0.45

Journal Article (2021)
Author(s)

Damianos Chatzopoulos (Universiteit Leiden)

Doohee Cho (Universiteit Leiden, Yonsei University)

K. M. Bastiaans (Universiteit Leiden)

Gorm O. Steffensen (University of Copenhagen)

D. Bouwmeester (Kavli institute of nanoscience Delft, TU Delft - QN/van der Zant Lab, Universiteit Leiden)

Alireza Akbari (Max Planck Institute for Chemical Physics of Solids)

Genda Gu (Brookhaven National Laboratory)

Jens Paaske (University of Copenhagen)

Brian M. Andersen (University of Copenhagen)

M. P. Allan (Universiteit Leiden)

Research Group
QN/van der Zant Lab
Copyright
© 2021 Damianos Chatzopoulos, Doohee Cho, Koen M. Bastiaans, Gorm O. Steffensen, D. Bouwmeester, Alireza Akbari, Genda Gu, Jens Paaske, Brian M. Andersen, Milan P. Allan
DOI related publication
https://doi.org/10.1038/s41467-020-20529-x
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 Damianos Chatzopoulos, Doohee Cho, Koen M. Bastiaans, Gorm O. Steffensen, D. Bouwmeester, Alireza Akbari, Genda Gu, Jens Paaske, Brian M. Andersen, Milan P. Allan
Research Group
QN/van der Zant Lab
Issue number
1
Volume number
12
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Abstract

By using scanning tunneling microscopy (STM) we find and characterize dispersive, energy-symmetric in-gap states in the iron-based superconductor FeTe0.55Se0.45, a material that exhibits signatures of topological superconductivity, and Majorana bound states at vortex cores or at impurity locations. We use a superconducting STM tip for enhanced energy resolution, which enables us to show that impurity states can be tuned through the Fermi level with varying tip-sample distance. We find that the impurity state is of the Yu-Shiba-Rusinov (YSR) type, and argue that the energy shift is caused by the low superfluid density in FeTe0.55Se0.45, which allows the electric field of the tip to slightly penetrate the sample. We model the newly introduced tip-gating scenario within the single-impurity Anderson model and find good agreement to the experimental data.