Optimization of B97-Type Density Functional Approximation, Global Hybrid, and Range-Separated Hybrid Energy Functionals with the D4 Dispersion Corrections in TAO-DFT

在TAO-DFT中,利用D4色散校正优化B97型密度泛函近似、全局杂化和范围分离杂化能量泛函

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Abstract

For multireference systems, Kohn-Sham density functional theory (KS-DFT) with the conventional exchange-correlation functionals can yield qualitative failures. Recently, thermally-assisted-occupation density functional theory (TAO-DFT) [Chai, J.-D. J. Chem. Phys. 2012, 136, 154104] has been developed to address this challenge. In this work, to greatly improve the performance of the conventional density functional approximation (DFA), global hybrid (GH), and range-separated hybrid (RSH) functionals in TAO-DFT, we propose the reoptimized B97-type DFA, GH, and RSH functionals with the D4 dispersion corrections in TAO-DFT, yielding TAO-B97-D4, TAO-B97X-D4, and TAO-ωB97X-D4, respectively, wherein a newly proposed analytical parametrization of the optimal system-independent fictitious temperature θ is adopted. Also, with the constraint θ = 0 in parameter optimization, we propose the reoptimized B97-type RSH functional with the D4 dispersion corrections in KS-DFT, denoted as KS-ωB97X-D4. Besides, within TAO-DFT, we propose an efficient method, denoted as pTAO/TDA, to obtain excitation energies, without the issues of spurious excitations. The performance of the resulting functionals has been examined on a wide variety of test sets, including both single-reference systems (e.g., the GMTKN55 database and equilibrium geometries) and multireference systems (e.g., the iso-C(40) database and linear acenes). Moreover, we examine their performance on some challenging test sets, such as the dissociation of H(2)(+) and He(2)(+), dissociation of H(2) and N(2), and long-range charge-transfer excitations. Overall, KS-ωB97X-D4 yields high accuracy for the properties (e.g., thermochemistry, kinetics, and noncovalent interactions) of single-reference systems, while TAO-ωB97X-D4, which achieves reasonably good performance for both single-reference and multireference systems, is preferable for general applications.

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