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Efficient First-Principles Framework for Phonon-Liquid-Like Behavior and Anharmonic Electron-Phonon Coupling in Cu-Based Materials

ORAL

Abstract

Cu2Se is one of the most promising thermoelectric materials due to its abundance, low cost, and toxicity yet high figure of merit. The reason lies in superionic Cu vibrations, which create the phonon-liquid electron-crystal effect, inhibiting heat transport while maintaining high electrical conductivity. Accurate electronic structure calculations in Cu2Se remain a challenge, since up to now no systematic approach exists to describe the liquid-like behavior and high degree of anharmonicity in this system. Here, utilizing the anharmonic special displacement method (ASDM), we introduce a quasi-static picture relying on symmetry-breaking polymorphous networks to capture anharmonicity in the phonons and structural disorder. We demonstrate the validity of polymorphous networks to describe overdamped anharmonic lattice dynamics in Cu2Se by computing the phonon spectral function and phonon density of states, yielding an unprecedented agreement with experiments. We also show the effect on the electronic structure by computing the electron spectral function at the hybrid functional level. In contrast to standard first-principles calculations on the high-symmetry structure, which reveal a semi-metallic behavior, our results using a polymorphous network yield a band gap of around 0.85 eV. Using the Burstein-Moss shift, we obtained a further correction to the bandgap of 0.26 eV in Cu-deficient Cu2Se, which yields excellent agreement with experimental values (1.23 eV). Further, we employed the ASDM in conjunction with the polymorphous structure to explore anharmonic electron-phonon coupling effects. Our work opens the way for systematic ab-initio anharmonic and electron-phonon coupling calculations in liquid-like crystals and thus understanding their compelling vibrational and electronic properties.

Presenters

  • Yuxuan Wang

    University of Michigan

Authors

  • Yuxuan Wang

    University of Michigan

  • Marios Zacharias

    Univ Rennes, INSA Rennes, CNRS, Institut FOTON - UMR 6082, F-35000 Rennes, France, University Rennes I

  • Xiao Zhang

    University of Michigan

  • Nick Pant

    University of Texas at Austin

  • Pierre F Poudeu

    University of Michigan

  • Emmanouil Kioupakis

    University of Michigan