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Resilient Nodeless d-Wave Superconductivity in Monolayer FeSe

Overview of attention for article published in Physical Review Letters, December 2017
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Article details
Title
Resilient Nodeless d-Wave Superconductivity in Monolayer FeSe
Published in
Physical Review Letters, December 2017
DOI 10.1103/physrevlett.119.267001
Pubmed ID
Authors
Abstract

Monolayer FeSe exhibits the highest transition temperature among the iron based superconductors and appears to be fully gapped, seemingly consistent with s-wave superconductivity. Here, we develop a theory for the superconductivity based on coupling to fluctuations of checkerboard magnetic order (which has the same translation symmetry as the lattice). The electronic states are described by a symmetry based k·p-like theory and naturally account for the states observed by angle resolved photoemission spectroscopy. We show that a prediction of this theory is that the resultant superconducting state is a fully gapped, nodeless, d-wave state. This state, which would usually have nodes, stays nodeless because, as seen experimentally, the relevant spin-orbit coupling has an energy scale smaller than the superconducting gap.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 6 19%
Researcher 5 16%
Student > Master 4 13%
Student > Doctoral Student 3 9%
Student > Bachelor 3 9%
Other 6 19%
Unknown 5 16%
Readers by discipline
Readers by discipline Count As %
Physics and Astronomy 19 59%
Materials Science 3 9%
Economics, Econometrics and Finance 1 3%
Medicine and Dentistry 1 3%
Engineering 1 3%
Other 0 0%
Unknown 7 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 December 2017.
All research outputs
#14,940,583
of 22,979,862 outputs
Outputs from Physical Review Letters
#24,411
of 35,812 outputs
Outputs of similar age
#255,148
of 441,764 outputs
Outputs of similar age from Physical Review Letters
#369
of 619 outputs
Altmetric has tracked 22,979,862 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 35,812 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 441,764 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 619 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.