Berry curvature and topological characterization for strongly correlated electron systems

ORAL

Abstract

Characterizing the topological nature of electronic states in strongly correlated quantum materials,

especially in cases with nodal excitations, is a problem of extensive current interest [1,2]. In non-

interacting cases, Bloch functions specify the Berry curvature and quantized topological charge of

symmetry protected band crossings. However, in strongly correlated systems, in particular where the

quasiparticle picture fails, Bloch functions cannot be used and no suitable alternative approaches are

available. Here we fill this void by developing a Green’s function approach. We illustrate our

approach in the extreme correlation limit with nodal states. Our formalism offers a way to

systematically characterize electronic topology in strongly correlated settings [3].

[1] Hu, H., Chen, L., Setty, C. Garcia-Diez, M., Grefe, S.E., Prokofiev, A., Kirchner, S., Vergniory,

M.G., Paschen, S., Cano, J. and Si, Q., 2021. arXiv preprint arXiv:2110.06182.

[2] Setty, C., Sur, S., Chen, L., Xie, F., Hu, H., Paschen, S., Cano, J. and Si, Q., 2023. arXiv preprint

arXiv:2301.13870.

[3] Setty, C et al (in prep)

*Work at Rice supported by the DOE BES (DE-SC0018197) and AFOSR (FA9550-21-1-0356).

Publication: arXiv:2301.13870.

Presenters

  • Chandan Setty

    • Rice University

Authors

  • Chandan Setty

    • Rice University
  • Fang Xie

    • Rice University
  • Shouvik Sur

    • Rice University
  • Lei Chen

    • Rice University
  • Maia G Vergniory

    • Donostia International Physics Center (DIPC)
    • Donostia International Physics Center
    • Donostia International Physics Center, 20018 Donostia-San Sebastian, Spain
    • DIPC / MPI CPfS
    • DIPC
  • Silke Paschen

    • TU Vienna
    • Vienna University of Technology
    • Vienna University of Technology (TU Wien)
    • T U Vienna
    • TU Wien
  • Jennifer Cano

    • Stony Brook University
    • Stony Brook University, Flatiron Institute
  • Qimiao Si

    • Rice University