Implications of the DFT+U method on polaron properties in energy materials

Zi Wang, Casey Brock, Amina Matt, and Kirk H. Bevan
Phys. Rev. B 96, 125150 – Published 26 September 2017
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Abstract

To model polaronic behavior in strongly correlated transition-metal oxides with ab initio methods, one typically requires a level of theory beyond that of local density or general gradient density functional theory (DFT) approximations to account for the strongly correlated d-shell interactions of transition-metal oxides. In the present work, we utilize density functional theory with additional on-site Hubbard corrections (DFT+U) to calculate polaronic properties in two lithium ion battery cathode materials, LixFePO4 and LixMn2O4, and two photocatalytic materials, TiO2 and Fe2O3. We investigate the effects of the +U on-site projection on polaronic properties. Through systematic comparison with hybrid functional calculations, it is shown that +U projection in these model materials can impact upon the band gap, polaronic hopping barrier, and polaronic eigenstate offset from the band edges in a nontrivial manner. These properties are shown to have varying degrees of coupling and dependence on the +U projection in each example material studied, which has important implications for arriving at systematic material predictions of polaronic properties in transition-metal oxides.

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  • Received 15 June 2017
  • Revised 7 September 2017

DOI:https://doi.org/10.1103/PhysRevB.96.125150

©2017 American Physical Society

Physics Subject Headings (PhySH)

  1. Physical Systems
  1. Techniques
Condensed Matter, Materials & Applied Physics

Authors & Affiliations

Zi Wang1,*, Casey Brock2, Amina Matt3, and Kirk H. Bevan1

  • 1Materials Engineering, McGill University, Montréal, Québec, H3A 0C5, Canada
  • 2Materials Science, Vanderbilt University, Nashville, Tennessee 37235, USA
  • 3Institute of Materials, École polytechnique fédérale de Lausanne, 1015 Lausanne, Switzerland

  • *zi.wang3@mail.mcgill.ca

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Issue

Vol. 96, Iss. 12 — 15 September 2017

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