2018
DOI: 10.1021/acs.jpca.8b04058
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A Comprehensive Assessment of the Effectiveness of Orbital Optimization in Double-Hybrid Density Functionals in the Treatment of Thermochemistry, Kinetics, and Noncovalent Interactions

Abstract: Orbital optimization (OO) has been suggested as a way to solve some shortcomings of second-order Møller-Plesset (MP2) variants and double-hybrid density functionals (DHDFs). A closer inspection of the literature, however, shows that the only two studies on OO-DHDFs were limited to three nonempirical PBE-based functionals, which are known to be of only mediocre accuracy. Herein, we provide a more in-depth analysis of OO-DHDFs with the main focus being on main-group thermochemistry, kinetics, and noncovalent int… Show more

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Cited by 20 publications
(26 citation statements)
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“…[123] As shown in Table 4, the performances of the five tested methods without OO in our work are approximate to those of the well-performed methods with and without OO as benchmarked by Najibi and Goerigk. [123] However, the orbitaloptimized MP2.5 method [124,125] Note that the reference binding energies in the NCCE31 dataset [87][88][89] are positive, which are different from the S22 [80][81][82][83] and S66 [84][85][86] datasets. b The deviations of these two functionals have been recomputed with the MRCC program, [105,106] and only the MA%Ds change slightly as compared with those of Yu.…”
Section: Performances Of the Tested Methods On The Ncce31 And O23 Dsupporting
confidence: 56%
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“…[123] As shown in Table 4, the performances of the five tested methods without OO in our work are approximate to those of the well-performed methods with and without OO as benchmarked by Najibi and Goerigk. [123] However, the orbitaloptimized MP2.5 method [124,125] Note that the reference binding energies in the NCCE31 dataset [87][88][89] are positive, which are different from the S22 [80][81][82][83] and S66 [84][85][86] datasets. b The deviations of these two functionals have been recomputed with the MRCC program, [105,106] and only the MA%Ds change slightly as compared with those of Yu.…”
Section: Performances Of the Tested Methods On The Ncce31 And O23 Dsupporting
confidence: 56%
“…The methods with and without orbital optimization (OO) were extensively benchmarked with the def2‐QZVP basis set against the O23 dataset by Najibi and Goerigk . As shown in Table , the performances of the five tested methods without OO in our work are approximate to those of the well‐performed methods with and without OO as benchmarked by Najibi and Goerigk . However, the orbital‐optimized MP2.5 method outperforms the aforementioned methods with and without OO on the O23 dataset.…”
Section: Resultsmentioning
confidence: 72%
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