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)
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