It has been brought to our attention that our recent study1 erroneously employed a vanishing Hartree–Fock (HF) magnetizability for the SO2 molecule. The reason was a Turbomole input error for this calculation. Our analysis script did not check whether a magnetizability was found in the Gimic output, which resulted in the parsing of an empty string in our analysis, leading to the value 0.0 × 10–30 J/T2 being used in the analysis. As the correct HF magnetizability according to the procedure used in ref (1) is −301.9 × 10–30 J/T2 for SO2, the correct deviation from the CCSD(T) value is only 12.4 × 10–30 J/T2 instead of 301.9 × 10–30 J/T2 in the original analysis. The missing data led to an erroneous ranking of HF theory. Instead of holding the last (52nd) place, in our rectified assessment HF ranks 29th. The conclusions of the study, however, are unaffected: the magnetizabilities calculated at the HF level of theory are less accurate than those calculated with the best density functional approximations, and we cannot recommend the use of HF for magnetic properties. Rectified versions of Table 3 and Figures 1d and 4 are shown in Table 1 and Figures 1 and 2, respectively.
Table 1. Corrected Table 3 of Ref (1)a.
| rank | functional | MAE | ME | STD | rank | functional | MAE | ME | STD |
|---|---|---|---|---|---|---|---|---|---|
| 1 | BHandHLYP | 3.11 | 2.15 | 4.65 | 27 | revTPSSh | 7.14 | 7.05 | 5.94 |
| 2 | CAM-QTP-00 | 3.22 | 0.88 | 4.67 | 28 | TPSSh | 7.20 | 7.07 | 6.02 |
| 3 | ωB97X-V | 3.22 | 2.51 | 4.36 | 29 | HF | 7.22 | –3.70 | 8.41 |
| 4 | CAM-QTP-01 | 3.23 | 0.59 | 4.49 | 30 | B97-2 | 7.24 | 7.07 | 6.40 |
| 5 | CAM-QTP-02 | 3.28 | –0.23 | 4.36 | 31 | M08-HX | 7.34 | 5.17 | 10.27 |
| 6 | ωB97 | 3.54 | 2.44 | 4.75 | 32 | BLYP | 7.91 | 5.69 | 8.75 |
| 7 | ωB97M-V | 3.61 | 0.41 | 4.75 | 33 | N12-SX | 8.04 | 7.89 | 7.48 |
| 8 | CAM-B3LYP | 3.73 | 2.38 | 4.86 | 34 | revTPSS | 8.20 | 7.86 | 6.68 |
| 9 | MN12-SX | 3.80 | 0.22 | 5.34 | 35 | TPSS | 8.22 | 7.85 | 6.85 |
| 10 | CAMh-B3LYP | 4.23 | 3.22 | 5.17 | 36 | revM11 | 8.23 | 6.83 | 10.03 |
| 11 | ωB97X | 4.25 | 3.71 | 5.22 | 37 | TASK | 8.27 | 7.31 | 7.43 |
| 12 | QTP-17 | 4.58 | 3.77 | 5.45 | 38 | BP86 | 8.59 | 7.30 | 8.75 |
| 13 | BHLYP | 4.73 | 0.10 | 6.47 | 39 | M11-L | 8.92 | 5.20 | 9.26 |
| 14 | B97M-V | 5.19 | 4.13 | 5.58 | 40 | revM06 | 8.94 | 8.67 | 10.27 |
| 15 | revB3LYP | 5.45 | 4.34 | 6.13 | 41 | PBE | 9.13 | 7.07 | 9.42 |
| 16 | B3LYP | 5.47 | 4.72 | 5.97 | 42 | KT3 | 9.19 | 8.38 | 8.08 |
| 17 | MN12-L | 5.79 | –2.03 | 8.02 | 43 | LDA | 9.55 | 5.37 | 11.36 |
| 18 | KT1 | 5.87 | 1.15 | 7.11 | 44 | CHACHIYO | 9.76 | 9.17 | 8.88 |
| 19 | rSCAN | 5.91 | 5.00 | 6.06 | 45 | M11 | 9.93 | 7.61 | 13.77 |
| 20 | PBE0 | 5.96 | 5.56 | 6.81 | 46 | M06-2X | 10.15 | 9.01 | 13.12 |
| 21 | ωB97X-D | 6.22 | 5.89 | 6.35 | 47 | MVS | 10.35 | 9.92 | 9.20 |
| 22 | SCAN | 6.30 | 5.89 | 5.96 | 48 | M08-SO | 10.40 | 8.09 | 14.34 |
| 23 | KT2 | 6.42 | 5.58 | 7.21 | 49 | N12 | 10.89 | 10.01 | 9.58 |
| 24 | MN15-L | 6.57 | –5.27 | 6.94 | 50 | MN15 | 11.45 | 10.45 | 12.82 |
| 25 | B97-3 | 6.61 | 6.61 | 6.26 | 51 | M06-L | 12.49 | 12.45 | 9.42 |
| 26 | revM06-L | 7.00 | 6.23 | 5.98 | 52 | M06 | 13.34 | 13.11 | 13.16 |
The mean absolute errors (MAEs), mean errors (MEs), and standard deviations (STDs) for the magnetizabilities of the 27 studied molecules in units of 10–30 J/T2 from the CCSD(T) reference with the studied functionals. The functionals are ordered in increasing MAE.
Figure 2.
The corrected Figure 4 of ref (1) shows the mean absolute errors (blue solid line) as well as the errors’ standard deviations (red crosses) of the magnetizabilities (in 10–30 J/T2) of the 27 studied molecules obtained with the 51 functionals and at the HF level are compared to the CCSD(T) reference.
Figure 1.

The corrected Figure 1d of ref (1) shows the normal distributions (NDs) representing the errors in the magnetizabilities for the 27 benchmarks reproduced by the studied functionals, obtained by plotting the data presented in Table 1. The curves are ordered by increasing standard deviation. The NDs at the HF level are compared to NDs obtained with a few global hybride (GH) functionals.
We also want to clarify the discussion in ref (1) on the magnetic gauge invariance of meta-generalized gradient (meta-GGA) functionals. Calculations of magnetizabilities using meta-GGA functionals require extensions to ensure gauge-origin independence,2,3 since the kinetic density (τ) depends on the gauge origin (O) in the presence of an external magnetic field.4,5 Recent benchmark calculations have shown that the widely used extension proposed by Maximoff and Scuseria3 leads to unphysical paramagnetic contributions to the nuclear magnetic shielding constants of atoms,5,6,13 whereas such problems do not appear when using the extension proposed by Dobson,2 which is commonly used for studying molecules in explicit magnetic fields7−10 and in some other applications.4,11,12 The unphysical effects are relatively small in calculations of nuclear magnetic shielding constants with many meta-GGA functionals,5 while calculations of magnetizabilities as the second derivative of the energy lead to significant deviations from reference data.1
At variance to our statement in ref (1), both TURBOMOLE and GAUSSIAN appear to use the approach of Maximoff and Scuseria3 for nuclear magnetic shielding calculations. However, the approach we introduced in ref (1) to compute magnetizabilities using a numerical integration of current-density susceptibilities obtained from calculations of magnetic shielding constants leads to a better gauge invariance and more accurate magnetizabilities for meta-GGA functionals than the approach based on second derivatives in combination with the approach of Maximoff and Scuseria.3 The approach used in TURBOMOLE has been recently discussed by Holzer et al.6 and Reiter et al.13 to which we refer for further details.
References
- Lehtola S.; Dimitrova M.; Fliegl H.; Sundholm D. Benchmarking Magnetizabilities with Recent Density Functionals. J. Chem. Theory Comput. 2021, 17, 1457–1468. 10.1021/acs.jctc.0c01190. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dobson J. F. Alternative expressions for the Fermi hole curvature. J. Chem. Phys. 1993, 98, 8870–8872. 10.1063/1.464444. [DOI] [Google Scholar]
- Maximoff S. N.; Scuseria G. E. Nuclear magnetic resonance shielding tensors calculated with kinetic energy density-dependent exchange-correlation functionals. Chem. Phys. Lett. 2004, 390, 408–412. 10.1016/j.cplett.2004.04.049. [DOI] [Google Scholar]
- Bates J. E.; Furche F. Harnessing the meta-generalized gradient approximation for time-dependent density functional theory. J. Chem. Phys. 2012, 137, 164105. 10.1063/1.4759080. [DOI] [PubMed] [Google Scholar]
- Schattenberg C. J.; Kaupp M. Effect of the Current Dependence of Tau-Dependent Exchange-Correlation Functionals on Nuclear Shielding Calculations. J. Chem. Theory Comput. 2021, 17, 1469–1479. 10.1021/acs.jctc.0c01223. [DOI] [PubMed] [Google Scholar]
- Holzer C.; Franzke Y. J.; Kehry M. Assessing the Accuracy of Local Hybrid Density Functional Approximations for Molecular Response Properties. J. Chem. Theory Comput. 2021, 17, 2928–2947. 10.1021/acs.jctc.1c00203. [DOI] [PubMed] [Google Scholar]
- Reiter K.; Mack F.; Weigend F. Calculation of magnetic shielding constants with meta-GGA functionals employing the multipole-accelerated resolution of the identity: implementation and assessment of accuracy and efficiency. J. Chem. Theory Comput. 2018, 14, 191–197. 10.1021/acs.jctc.7b01115. [DOI] [PubMed] [Google Scholar]
- Sagvolden E.; Ekstrom U.; Tellgren E. I. Isoorbital indicators for current density functional theory. Mol. Phys. 2013, 111, 1295–1302. 10.1080/00268976.2013.802383. [DOI] [Google Scholar]
- Reimann S.; Ekström U.; Stopkowicz S.; Teale A. M.; Borgoo A.; Helgaker T. The importance of current contributions to shielding constants in density-functional theory. Phys. Chem. Chem. Phys. 2015, 17, 18834–18842. 10.1039/C5CP02682B. [DOI] [PubMed] [Google Scholar]
- Sen S.; Tellgren E. I. A local tensor that unifies kinetic energy density and vorticity in density functional theory. J. Chem. Phys. 2018, 149, 144109. 10.1063/1.5041931. [DOI] [PubMed] [Google Scholar]
- Irons T. J. P.; Spence L.; David G.; Speake B. T.; Helgaker T.; Teale A. M. Analyzing Magnetically Induced Currents in Molecular Systems Using Current-Density-Functional Theory. J. Phys. Chem. A 2020, 124, 1321–1333. 10.1021/acs.jpca.9b10833. [DOI] [PubMed] [Google Scholar]
- Becke A. D. Current-density dependent exchange-correlation functionals. Can. J. Chem. 1996, 74, 995–997. 10.1139/v96-110. [DOI] [Google Scholar]
- Tao J. Explicit inclusion of paramagnetic current density in the exchange-correlation functionals of current-density functional theory. Phys. Rev. B: Condens. Matter Mater. Phys. 2005, 71, 205107. 10.1103/PhysRevB.71.205107. [DOI] [Google Scholar]

