English

Comparing Hubbard parameters from linear-response theory and Hartree-Fock-based approach

Materials Science 2025-12-23 v2

Abstract

Density-functional theory with on-site UU and inter-site VV Hubbard corrections (DFT+UU+VV) is a powerful and accurate method for predicting various properties of transition-metal compounds. However, its accuracy depends critically on the values of these Hubbard parameters. Although they can be determined empirically, first-principles methods provide a more consistent and reliable approach; yet, their results can vary, and a comprehensive comparison between methods is still lacking. Here, we present a systematic comparison of two widely used approaches for computing UU and VV, namely linear-response theory (LRT) and the Hartree-Fock-based pseudohybrid functional formalism, applied to a representative set of oxides (MnO, NiO, CoO, FeO, BaTiO3_3, ZnO, and ZrO2_2). We find that for partially occupied transition-metal dd states, these two methods yield consistent UU values, but they differ for nearly empty or fully filled dd shells. For O-2p2p states, LRT always predicts large UU values (\sim10 eV), whereas the pseudohybrid formalism produces system-dependent values depending on the level of localization and hybridization for the electronic states. Even larger differences are found for the inter-site VV: the former predicts consistently small values (<1<1 eV), while the latter produces larger values (3\sim3 eV), reflecting its explicit dependence on relative charge redistribution. Our results show that while parallels between these two methods exist, they rely on distinct assumptions for determining UU and VV, leading to variations in predictions of material properties.

Keywords

Cite

@article{arxiv.2512.16803,
  title  = {Comparing Hubbard parameters from linear-response theory and Hartree-Fock-based approach},
  author = {Wooil Yang and Iurii Timrov and Francesco Aquilante and Young-Woo Son},
  journal= {arXiv preprint arXiv:2512.16803},
  year   = {2025}
}

Comments

20 pages, 9 figures

R2 v1 2026-07-01T08:31:57.983Z