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Pure and Hybrid SCAN, rSCAN, and r(2)SCAN: Which One Is Preferred in KS- and HF-DFT Calculations, and How Does D4 Dispersion Correction Affect This Ranking?

Using the large and chemically diverse GMTKN55 dataset, we have tested the performance of pure and hybrid KS-DFT and HF-DFT functionals constructed from three variants of the SCAN meta-GGA exchange-correlation functional: original SCAN, rSCAN, and r(2)SCAN. Without any dispersion correction involved...

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Detalles Bibliográficos
Autores principales: Santra, Golokesh, Martin, Jan M. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8746565/
https://www.ncbi.nlm.nih.gov/pubmed/35011372
http://dx.doi.org/10.3390/molecules27010141
Descripción
Sumario:Using the large and chemically diverse GMTKN55 dataset, we have tested the performance of pure and hybrid KS-DFT and HF-DFT functionals constructed from three variants of the SCAN meta-GGA exchange-correlation functional: original SCAN, rSCAN, and r(2)SCAN. Without any dispersion correction involved, HF-SCANn outperforms the two other HF-DFT functionals. In contrast, among the self-consistent variants, SCANn and r(2)SCANn offer essentially the same performance at lower percentages of HF-exchange, while at higher percentages, SCANn marginally outperforms r(2)SCANn and rSCANn. However, with D4 dispersion correction included, all three HF-DFT-D4 variants perform similarly, and among the self-consistent counterparts, r(2)SCANn-D4 outperforms the other two variants across the board. In view of the much milder grid dependence of r(2)SCAN vs. SCAN, r(2)SCAN is to be preferred across the board, also in HF-DFT and hybrid KS-DFT contexts.