A note on the accuracy of spin-densities from Kohn-Sham Density Functional Theory
Rodrigo A. Mendes, Zachary W. Windom, Ajith Perera, Roberto L. A. Haiduke, Rodney J. Bartlett
Abstract
Quantifying the magnetic properties of open-shell molecules is a common task in chemistry and is increasingly performed in silico using Kohn-Sham density functional theory (KS-DFT). Previous work demonstrates that the predictive accuracy of a few functionals for one such property - hyperfine coupling constants (HFCCs) - is possible, implying that such approximations must yield accurate spin-densities at the nucleus. However, the ability of such functionals to globally predict accurate spin-densities of comparable quality to rigorous ab initio coupled cluster theory, for example, is dubious, despite this being a fundamental quantity for KS-DFT. This work intends to explore the matter by evaluating moments of the spin-density, rn = ∫ ρ(r)rn dτ, n=-2,·s,2,3, for second-, third-, and fourth-row atoms to compare various KS-DFT functionals against CCSD. Our results broadly indicate that the tested functionals experience significant deviations with respect to CCSD spin-densities in regions up to 1 Bohr away from the nuclei, with most errors occurring in the immediate vicinity of the nucleus. We find evidence of extreme errors by some functionals for individual α/β spin-densities, although several ultimately end up benefiting from significant error cancellation once the corresponding global spin-density is formed. Nevertheless, a comparison between CAM-B3LYP and the Quantum Theory Project (QTP)-family of DFT functionals based on Correlated Orbital Theory conditions across all error metrics demonstrates that QTP00 more accurately reproduces the global spin-density as well as HFCCs, generally offering results in better agreement with CCSD. In line with previous work, we also corroborate the success of PBE0 and the TPSS-family of functionals for HFCCs, further finding that both approximations generally yield spin-densities that are amongst the best.
Create a lesson
Related papers
Spin Migration in the Argon Dimer
Stefanos Carlström, Serguei Patchkovskii, Misha Yu Ivanov
Accuracy of Vibrational Properties of Machine-Learning Force Fields for Molecular Crystal Transformations
Natalia Goncharova, Oskar Schweighofer, Johannes Hoja
Electron-Density-Informed Molecular Property Prediction Using Surrogate Functionals
Manuel V. Klockow, Simon Wagner, Roman Remme et al.
Unveiling the Influence of Graphitic Nanocarbon Structures, Defects, and Surface Functional Groups on Supercapacitive Performance in LiTFSI Electrolyte
Phongphot Sakulaue, Bénédicte Réty, Takafumi Ishii et al.
Quantum dynamics of an ion in an RF quadrupole trap with weak octupolar anharmonicity
Sukanya Jana, Anushree Dey, Pintu Manadal et al.
Quantitative modeling of acid-base equilibria
Qianjun Xu, Simin Liu, Cesare Malosso et al.