Abstract
We have studied the superconducting properties of the isostructural ternary noncentrosymmetric superconductors TaXSi (X=Re, Ru) with the help of muon spin rotation/relaxation (μSR) and density functional theory calculations. Our transverse-field μSR measurements indicate isotropic s-wave superconductivity in TaReSi and multigap superconductivity in TaRuSi. Zero-field μSR measurements, highly sensitive to very small magnetic fields, find no evidence of spontaneous fields in the superconducting state of TaReSi, whereas we observe small spontaneous fields that onset with superconductivity indicating broken time-reversal symmetry (TRS) superconductivity in TaRuSi. Using density functional theory calculations, we find that spin-orbit coupling is relatively weak in TaRuSi and strong in TaReSi. Using symmetry analysis, we attribute the broken TRS in TaRuSi to a nonunitary triplet pairing state. Such a state is not allowed in the presence of strong spin-orbit coupling: our finding of no evidence for broken TRS in TaReSi is consistent with this expectation.
Original language | English |
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Article number | 144510 |
Journal | Physical Review B |
Volume | 108 |
Issue number | 14 |
DOIs | |
State | Published - Oct 1 2023 |
Externally published | Yes |
Funding
Work at McMaster was supported by the Natural Sciences and Engineering Research of Council of Canada. R.P.S. acknowledges the Science and Engineering Research Board, Government of India, for Core Research Grant No. CRG/2019/001028. The financial support from DST-FIST (India) Project No. SR/FST/PSI-195/2014(C) is also thankfully acknowledged. This research was enabled in part by support provided by SHARCNET and the Digital Research Alliance of Canada .
Funders | Funder number |
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Natural Sciences and Engineering Research Council of Canada | |
Department of Science and Technology, Ministry of Science and Technology, India | SR/FST/PSI-195/2014 |
Science and Engineering Research Board | CRG/2019/001028 |
Alliance de recherche numérique du Canada | |
Shared Hierarchical Academic Research Computing Network |