Calibrating transition metal energy levels and oxygen bands in first principles calculations: accurate prediction of redox potentials and charge transfer in lithium transition metal oxides
Dong-Hwa Seo, Alexander Urban, and Gerbrand Ceder

TL;DR
This paper introduces a first-principles computational method using an optimized hybrid functional to accurately predict electronic structures and redox potentials in transition metal oxides, crucial for energy applications.
Contribution
It develops a system-specific calibration of the HSE06 hybrid functional for better electronic structure predictions in TM oxides, improving upon existing methods.
Findings
Optimized HSE06 functional improves electronic density of states and energetics.
Band gaps increase linearly with the mixing parameter, enabling calibration.
G0W0@GGA+U band gaps match experimental data.
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 LiCoO2 and LiNiO2 as compared…
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