Abstract
Transition-metal (TM) oxides play an increasingly important role in technology today, including applications such as catalysis, solar energy harvesting, and energy storage. In many of these applications, the details of their electronic structure near the Fermi level are critically important for their properties. We propose a first-principles–based computational methodology for the accurate prediction of oxygen charge transfer in TM oxides and lithium TM (Li-TM) oxides. To obtain accurate electronic structures, the Heyd-Scuseria-Ernzerhof (HSE06) hybrid functional is adopted, and the amount of exact Hartree-Fock exchange (mixing parameter) is adjusted to reproduce reference band gaps. We show that the HSE06 functional with optimal mixing parameter yields not only improved electronic densities of states, but also better energetics (Li-intercalation voltages) for and as compared to the generalized gradient approximation (GGA), Hubbard corrected GGA (), and standard HSE06. We find that the optimal mixing parameters for TM oxides are system specific and correlate with the covalency (ionicity) of the TM species. The strong covalent (ionic) nature of TM-O bonding leads to lower (higher) optimal mixing parameters. We find that optimized HSE06 functionals predict stronger hybridization of the and orbitals as compared to GGA, resulting in a greater contribution from oxygen states to charge compensation upon delithiation in . We also find that the band gaps of Li-TM oxides increase linearly with the mixing parameter, enabling the straightforward determination of optimal mixing parameters based on GGA () and HSE06 calculations. Our results also show that band gaps of TM oxides () and agree well with experimental references, suggesting that calculations can be used as a reference for the calibration of the mixing parameter in cases when no experimental band gap has been reported.
2 More- Received 29 June 2015
DOI:https://doi.org/10.1103/PhysRevB.92.115118
©2015 American Physical Society