8 citations · 27 across the 6 of their papers we have counts for
6 papers
Insulating transport in anisotropic metals: breakdown of Drude transport and the puzzling -axis resistivity of SrRuO and other layered oxides
Sophie Beck, Matthew Shammami, Lorenzo Van Muñoz +3
We reveal a mechanism that may explain the non-metallic out-of-plane resistivity in layered metals. By carefully examining how the Drude-Boltzmann expression for the -axis condu…
Low-temperature transport in high-conductivity correlated metals: a density-functional plus dynamical mean-field study of cubic perovskites
Harrison LaBollita, Jeremy Lee-Hand, Fabian B. Kugler +6
While methods based on density-functional perturbation theory have dramatically improved our understanding of electron-phonon contributions to transport in materials, methods for a…
Fermi-Liquid Resistivity: Dynamical Mean-Field Theory Meets Experiment
Fabian B. Kugler, Jeremy Lee-Hand, Harrison LaBollita +6
Direct-current resistivity is a key probe for the physical properties of materials. In metals, Fermi-liquid (FL) theory serves as the basis for understanding transport. A beh…
High-order and adaptive optical conductivity calculations using Wannier interpolation
Lorenzo Van Muñoz, Jason Kaye, Alex Barnett +1
We present an automatic, high-order accurate, and adaptive Brillouin zone integration algorithm for the calculation of the optical conductivity with a non-zero but small broadening…
Chirped amplitude mode in photo-excited superconductors
Thomas Blommel, Jason Kaye, Yuta Murakami +2
Using a state-of-the-art numerical scheme, we show that the Higgs mode under excitation exhibits chirped oscillations and exponential decay when fluctuations are included. This is…
Stabilizing the calculation of the self-energy in dynamical mean-field theory using constrained residual minimization
Harrison LaBollita, Jason Kaye, Alexander Hampel
We propose a simple and efficient method to calculate the electronic self-energy in dynamical mean-field theory (DMFT), addressing a numerical instability often encountered when so…