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Signatures of Cooper pair dynamics and quantum-critical superconductivity in tunable carrier bands.
Dong, Zhiyu; Lee, Patrick A; Levitov, Leonid S.
Afiliación
  • Dong Z; Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139.
  • Lee PA; Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139.
  • Levitov LS; Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139.
Proc Natl Acad Sci U S A ; 120(39): e2305943120, 2023 Sep 26.
Article en En | MEDLINE | ID: mdl-37738298
ABSTRACT
Different superconducting pairing mechanisms are markedly distinct in the underlying Cooper pair kinematics. Quantum-critical soft modes drive pairing interactions in which the pair scattering processes are highly collinear and can be classified into two categories forward scattering and backscattering. Conversely, in conventional phonon mechanisms, Cooper pair scattering is of a generic noncollinear character. In this study, we present a method to discern the kinematic type by observing the evolution of superconductivity while adjusting the Fermi surface geometry. To demonstrate our approach, we utilize the recently reported phase diagrams of untwisted graphene multilayers. Our analysis connects the emergence of superconductivity at "ghost crossings" of Fermi surfaces in distinct valleys to the pair kinematics of a backscattering type. Together with the observed nonmonotonic behavior of superconductivity near its onset (sharp rise followed by a drop), it lends strong support to a particular quantum-critical superconductivity scenario in which pairing is driven by intervalley coherence fluctuations. These findings offer direct insights into the genesis of pairing in these systems, providing compelling evidence for the electron-electron interactions driving superconductivity. More broadly, our work highlights the potential of tuning bands via ghost crossings as a promising means of boosting superconductivity.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2023 Tipo del documento: Article