Canonical and DLPNO-Based G4(MP2)XK-Inspired Composite Wave Function Methods Parametrized against Large and Chemically Diverse Training Sets: Are They More Accurate and/or Robust than Double-Hybrid DFT?

Details

Language :

English

ISSN :

15499618

Volume :

16

Issue :

7

Database :

Supplemental Index

Journal :

Journal of Chemical Theory & Computation

Publication Type :

Academic Journal

Accession number :

144583949

Full Text :

https://doi.org/10.1021/acs.jctc.0c00189