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Survival of the most transferable at the top of Jacob’s ladder: Defining and testing the ω B97M(2) double hybrid density functional
Open accessAbstract
A meta-generalized gradient approximation, range-separated double hybrid (DH) density functional with VV10 non-local correlation is presented. The final 14-parameter functional form is determined by screening trillions of candidate fits through a combination of best subset selection, forward stepwise selection, and random sample consensus (RANSAC) outlier detection. The MGCDB84 database of 4986 data points is employed in this work, containing a training set of 870 data points, a validation set of 2964 data points, and a test set of 1152 data points. Following an xDH approach, orbitals from the ωB97M-V density functional are used to compute the second-order perturbation theory correction. The resulting functional, ωB97M(2), is benchmarked against a variety of leading double hybrid density functionals, including B2PLYP-D3(BJ), B2GPPLYP-D3(BJ), ωB97X-2(TQZ), XYG3, PTPSS-D3(0), XYGJ-OS, DSD-PBEP86-D3(BJ), and DSD-PBEPBE-D3(BJ). Encouragingly, the overall performance of ωB97M(2) on nearly 5000 data points clearly surpasses that of all of the tested density functionals. As a Rung 5 density functional, ωB97M(2) completes our family of combinatorially optimized functionals, complementing B97M-V on Rung 3, and ωB97X-V and ωB97M-V on Rung 4. The results suggest that ωB97M(2) has the potential to serve as a powerful predictive tool for accurate and efficient electronic structure calculations of main-group chemistry.
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Cites
Effect of the damping function in dispersion corrected density functional theory
Grimme, S., Ehrlich, S., & Goerigk, L. (2011) · Journal of Computational Chemistry · doi:10.1002/jcc.21759 · Cited by 28,221
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Mardirossian, N., & Head-Gordon, M. (2017) · Molecular Physics · doi:10.1080/00268976.2017.1333644 · Cited by 2,307
Self-citationComparison of Stopping Rules in Forward “Stepwise” Regression
Bendel, R. B., & Afifi, A. A. (1977) · Journal of the American Statistical Association · doi:10.1080/01621459.1977.10479905 · Cited by 885
Cited by
Santra, G., Sylvetsky, N., & Martin, J. M. L. (2019) · The Journal of Physical Chemistry A · doi:10.1021/acs.jpca.9b03157 · Cited by 517
Density Functional Theory for Electrocatalysis
Liao, X., Lu, R., Xia, L., Liu, Q., Wang, H., Zhao, K., Wang, Z., & Zhao, Y. (2022) · ENERGY & ENVIRONMENTAL MATERIALS · doi:10.1002/eem2.12204 · Cited by 420
Najibi, A., & Goerigk, L. (2018) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.8b00842 · Cited by 320
Liakos, D. G., Guo, Y., & Neese, F. (2020) · The Journal of Physical Chemistry A · doi:10.1021/acs.jpca.9b05734 · Cited by 304
Molecule‐Specific Uncertainty Quantification in Quantum Chemical Studies
Reiher, M. (2022) · Israel Journal of Chemistry · doi:10.1002/ijch.202100101 · Cited by 29
Metadata
- Authors
- Mardirossian, N., & Head-Gordon, M.
- Venue
- The Journal of Chemical Physics
- Publisher
- AIP Publishing
- Published
- 2018-06-07
- Volume
- 148
- Issue
- 24
- Pages
- 241736-241736
- ISSN
- 0021-9606 (ISSN-L)
- 1089-7690
- OpenAlex
- W2805650689
- Cited by
- 207
- References
- 4
- FWCI
- 10.87
- Type
- journal article
- Language
- en
- Open access
- green
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