High-performance batteries, heterogeneous catalysts and next-generation
photovoltaics often centrally involve transition metal oxides (TMOs) that
undergo charge or spin-state changes. Demand for accurate DFT modeling of TMOs
has increased in recent years, driving improved quantification and correction
schemes for approximate DFT's characteristic errors, notably those pertaining
to self-interaction and static correlation. Of considerable interest,
meanwhile, is the use of DFT-accessible quantities to compute parameters of
coarse-grained models such as for magnetism. To understand the interference of
error corrections and model mappings, we probe the prototypical Mott-Hubbard
insulator NiO, calculating its electronic structure in its antiferromagnetic
I/II and ferromagnetic states. We examine the pronounced sensitivity of the
first principles calculated Hubbard U and Hund's J parameters to choices
concerning Projector Augmented Wave (PAW) based population analysis, we
reevaluate spin quantification conventions for the Heisenberg model, and we
seek to develop best practices for calculating Hubbard parameters specific to
energetically meta-stable magnetic orderings of TMOs. Within this framework, we
assess several corrective functionals using in situ calculated U and J
parameters, e.g., DFT+U and DFT+U+J. We find that while using a straightforward
workflow with minimal empiricism, the NiO Heisenberg parameter RMS error with
respect to experiment was reduced to 13%, an advance upon the state-of-the-art.
Methodologically, we used a linear-response implementation for calculating the
Hubbard U available in the open-source plane-wave DFT code Abinit. We have
extended its utility to calculate the Hund's exchange coupling J, however our
findings are anticipated to be applicable to any DFT+U implementation.Comment: 19 pages, 6 figures (+1 in SI), 7 tables (+1 in SI