journal article·2022-06-03Open access

Enhancing Tc in a composite superconductor/metal bilayer system: A dynamical cluster approximation study

Philip M. Dee, Steven Johnston, Thomas A. Maier

Physical Review B· Volume 105· Issue 21

Abstract

It has been proposed that the superconducting transition temperature ${T}_{\text{c}}$ of an unconventional superconductor with a large pairing scale but strong phase fluctuations can be enhanced by coupling it to a metal. However, the general efficacy of this approach across different parameter regimes remains an open question. Using the dynamical cluster approximation, we study this question in a system composed of an attractive Hubbard layer in the intermediate coupling regime, where the magnitude of the attractive Coulomb interaction $|U|$ is slightly larger than the bandwidth $W$, hybridized with a noninteracting metallic layer. We find that while the superconducting transition becomes more mean-field-like with increasing interlayer hopping, the superconducting transition temperature ${T}_{\text{c}}$ exhibits a nonmonotonic dependence on the strength of the hybridization ${t}_{\ensuremath{\perp}}$. This behavior arises from a reduction of the effective pairing interaction in the correlated layer that outcompetes the growth in the intrinsic pair-field susceptibility induced by the coupling to the metallic layer. We find that the largest ${T}_{\text{c}}$ inferred here for the composite system is comparable to the maximum value currently estimated for the isolated negative-$U$ Hubbard model.
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Research context

OpenAlex topics: Physics of Superconductivity and Magnetism · Advanced Condensed Matter Physics · Iron-based superconductors research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Physics and Astronomy, The University of Tennessee, Knoxville, Tennessee 37996, USA

Department of Physics, University of Florida, Gainesville, Florida 32611, USA

Department of Materials Science and Engineering, University of Florida, Gainesville, Florida 32611, USA

Institute for Advanced Materials and Manufacturing, University of Tennessee, Knoxville, Tennessee 37996, USA

Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831-6102, USA

Funding

U.S. Department of Energy · Division of Materials Sciences and Engineering

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