The Nonlocal Kernel in van der Waals Density Functionals as an Additive Correction: An Extensive Analysis with Special Emphasis on the B97M-V and ωB97M-V Approaches
Abstract
The development of van der Waals density functional approximations (vdW-DFAs) has gained considerable interest over the past decade. While in a strictest sense, energy calculations with vdW-DFAs should be carried out fully self-consistently, we demonstrate conclusively for a total of 11 methods that such a strategy only increases the computational time effort without having any significant effect on energetic properties, electron densities, or orbital-energy differences. The strategy to apply a nonlocal vdW-DFA kernel as an additive correction to a fully converged conventional DFA result is therefore justified and more efficient. As part of our study, we utilize the extensive GMTKN55 database for general main-group thermochemistry, kinetics, and noncovalent interactions [ Phys. Chem. Chem. Phys. 2017, 19, 32184], which allows us to analyze the very promising B97M-V [ J. Chem. Phys. 2015, 142, 074111] and ωB97M-V [ J. Chem. Phys. 2016, 144, 214110] DFAs. We also present new DFT-D3(BJ) based counterparts of these two methods and of ωB97X-V [ J. Chem. Theory Comput 2013, 9, 263], which are faster variants with similar accuracy. Our study concludes with updated recommendations for the general method user, based on our current overview of 325 dispersion-corrected and -uncorrected DFA variants analyzed for GMTKN55. vdW-DFAs are the best representatives of the three highest rungs of Jacob's Ladder, namely, B97M-V, ωB97M-V, and DSD-PBEP86-NL.
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The ωB97X-D3(BJ) functional shows considerably better performance for water cluster binding energies and reaction barriers than the baseline SCAN+D3(BJ) functional.
“For the higher-level reference, we chose the range-separated hybrid DFT functional ωB97X complemented with the empirical dispersion correction D3(BJ): a functional that shows considerably better performance for water cluster binding energies and reaction barriers74,77,78 than our baseline reference SCAN+D3(BJ) functional.”
From A reactive neural network framework for water-loaded acidic zeolites (2024) · cites this paper as [78]
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A reactive neural network framework for water-loaded acidic zeolites
Erlebach, A., Šípka, M., Saha, I., Nachtigall, P., Heard, C. J., & Grajciar, L. (2024) · Nature Communications · doi:10.1038/s41467-024-48609-2 · Cited by 47 · see citing works
- Authors
- Najibi, A., & Goerigk, L.
- Affiliations
- The University of Melbourne (AU)
- Corresponding author
- Goerigk, Lars
- Venue
- Journal of Chemical Theory and Computation
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-10-09
- Volume
- 14
- Issue
- 11
- Pages
- 5725-5738
- ISSN
- 1549-9618 (ISSN-L)
- 1549-9626
- OpenAlex
- W2897973547
- Cited by
- 320
- References
- 4
- Citations by year
- 2026: 46 · 2025: 56 · 2024: 51 · 2023: 45 · 2022: 34 · 2021: 36 · 2020: 35 · 2019: 15 · 2018: 1
- FWCI
- 10.05
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Chemical Theory and Computation (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Department of Education and Training
- University of Melbourne
- Topics
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Advanced Chemical Physics Studies
- Physical Sciences › Chemistry › Physical and Theoretical Chemistry › Crystallography and molecular interactions
- Physical Sciences › Chemistry › Physical and Theoretical Chemistry › Advanced Physical and Chemical Molecular Interactions
- Keywords
- van der Waals density functional, nonlocal kernel, additive correction, dispersion-corrected functionals, Jacob's ladder, non-covalent interactions
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