APS Logo

Investigation of strange metallicity from numerical simulations of the doped Hubbard model

Invited

Abstract

Strange or bad metallic transport, defined by its incompatibility with conventional quasiparticle pictures, is a theme common to strongly correlated materials and ubiquitous in many high temperature superconductors. The Hubbard model represents a minimal starting point for modeling strongly correlated systems. Here we demonstrate strange metallic transport in the doped two-dimensional Hubbard model using determinantal quantum Monte Carlo calculations. Over a wide range of doping, we observe resistivities exceeding the Mott-Ioffe-Regel limit with linear temperature dependence. The temperatures of our calculations extend to as low as 1/40 the non-interacting bandwidth, placing our findings in the degenerate regime relevant to experimental observations of strange metallicity. Our results provide a foundation for connecting theories of strange metals to models of strongly correlated materials.

Presenters

  • Thomas Devereaux

    Stanford Univ, SLAC, Stanford, Stanford University, Stanford Institute for Materials and Energy Sciences, SLAC - Natl Accelerator Lab, SLAC National Accelerator Laboratory, Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory and Stanford University, SIMES, SLAC, SLAC

Authors

  • Edwin Huang

    University of Illinois Urbana-Champaign, University of Illinois at Urbana-Champaign, Department of Physics and Institute of Condensed Matter Theory, University of Illinois at Urbana-Champaign

  • Wen Wang

    Stanford University, Stanford Univ

  • Jixun Ding

    Stanford University, Stanford Univ

  • Brian Moritz

    Stanford Univ

  • Thomas Devereaux

    Stanford Univ, SLAC, Stanford, Stanford University, Stanford Institute for Materials and Energy Sciences, SLAC - Natl Accelerator Lab, SLAC National Accelerator Laboratory, Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory and Stanford University, SIMES, SLAC, SLAC