Benfenati, Andrea, Barkman, Mats, Winyard, Thomas, Wormald, Alex, Speight, Martin, Babaev, Egor (2020) Magnetic signatures of domain walls in s+is and s+id superconductors: Observability and what that can tell us about the superconducting order parameter. Physical Review B, 101 (5). Article Number 054507. ISSN 2469-9950. (doi:10.1103/PhysRevB.101.054507) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:90781)
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Official URL: https://doi.org/10.1103/PhysRevB.101.054507 |
Abstract
One of the defining features of spontaneously broken time-reversal symmetry (BTRS) is the existence of domain walls, the detection of which would be strong evidence for such systems. There is keen interest in BTRS currently, in part, due to recent muon spin rotation experiments, which have pointed towards Ba1−x Kx Fe2 As2 exhibiting a remarkable case of s-wave superconductivity with spontaneously broken time-reversal symmetry. A key question, however, is how to differentiate between the different theoretical models which describe such a state. Two particularly popular choices of model are s + is and s + id superconducting states. In this paper, we obtain solutions for domain walls in s + is and s + id systems, including the effects of lattice anisotropies. We show that, in general, both models exhibit spontaneous magnetic fields that extend along the entire length of the domain wall. We demonstrate the qualitative difference between the magnetic signatures of s + is and s + id domain walls and propose a procedure to extract the superconducting pairing symmetry from the magnetic-field response of domain walls.
Item Type: | Article |
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DOI/Identification number: | 10.1103/PhysRevB.101.054507 |
Uncontrolled keywords: | Multiband superconductivity; Superconductivity; Iron-based superconductors; Superconductors; Unconventional superconductors; T-symmetry |
Subjects: | Q Science > QC Physics > QC20 Mathematical Physics |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science |
Depositing User: | Amy Boaler |
Date Deposited: | 11 Oct 2021 10:39 UTC |
Last Modified: | 05 Nov 2024 12:56 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/90781 (The current URI for this page, for reference purposes) |
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