Electronic properties of doped and defective NiO – perspectives from quantum Monte Carlo and density functional theory

ORAL

Abstract

NiO is a Mott (or charge-transfer) insulator and is difficult to describe using density functional theory (DFT). Doped Mott insulators such as NiO are of interest for various applications, but rigorous theoretical descriptions are lacking. Here, we use quantum Monte Carlo methods, which very accurately include electron-electron interactions, to examine energetics, charge- and spin-structures of NiO with various point defects, such as vacancies or substitutional doping with potassium. The formation energy of a potassium dopant is significantly lower than for a Ni vacancy, making potassium an attractive monovalent dopant for NiO. We compare our results with DFT results that include an on-site Hubbard U (DFT+U) to account for correlations and find relatively large discrepancies for defect formation energies as well as for charge and spin redistributions in the presence of point defects. This implies that schemes such as DFT+U are unlikely to capture responses that depend in subtle and complex ways on ground state properties such as charge and spin densities.

Presenters

  • Olle Heinonen

    Argonne National Lab., Materials Science Division, Argonne Nat'l Lab; Northwestern-Argonne Institute of Science and Technology, Argonne National Lab, Argonne Natl Lab, Materials Science Division, argonne national laboratory, Materials Science Division, Argonne National Laboratory, Argonne National Laboratory

Authors

  • Olle Heinonen

    Argonne National Lab., Materials Science Division, Argonne Nat'l Lab; Northwestern-Argonne Institute of Science and Technology, Argonne National Lab, Argonne Natl Lab, Materials Science Division, argonne national laboratory, Materials Science Division, Argonne National Laboratory, Argonne National Laboratory

  • Hyeondeok Shin

    Leadership Computing Facility, argonne national laboratory, Argonne National Laboratory, Leadership Computing Facility, Argonne National Laboratory

  • Ye Luo

    Argonne National Laboratory

  • Panchapakesan Ganesh

    Oak Ridge National Laboratory

  • Janakiraman Balachandran

    Oak Ridge National Laboratory

  • Jaron Krogel

    Oak Ridge National Lab, Materials Science and Technology Division, Oak Ridge National Lab, Materials Science and Technology Division, Oak Ridge National Laboratory, Oak Ridge National Laboratory

  • Anouar Benali

    Argonne Natl Lab, Leadership Computing Facility, argonne national laboratory, Argonne National Laboratory, Leadership Computing Facility, Argonne National Laboratory

  • Paul Kent

    Oak Ridge National Lab, Oak Ridge National Laboratory, Center for Nanophase Materials Sciences, Oak Ridge National Laboratory