Implementation and Validation of Local Hybrid Functionals with Calibrated Exchange-Energy Densities for Nuclear Shielding Constants
| Autor: | Martin Kaupp, Caspar Schattenberg |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
010304 chemical physics
Proton Chemistry Exchange interaction Function (mathematics) 010402 general chemistry Kinetic energy 01 natural sciences 0104 chemical sciences Computational physics Hybrid functional Atomic orbital 0103 physical sciences Electromagnetic shielding Physical and Theoretical Chemistry Mixing (physics) |
| Zdroj: | The journal of physical chemistry. A. 125(12) |
| ISSN: | 1520-5215 |
| Popis: | A recently reported coupled-perturbed Kohn-Sham implementation to compute nuclear shielding constants with gauge-including atomic orbitals and local hybrid functionals has been extended to cover higher derivatives of the density in the local mixing function (LMF) of the local hybrid as well as the calibration function (CF) needed to deal with the ambiguity of exchange-energy densities. This allowed the first evaluation of state-of-the-art local hybrids with "calibrated" exchange-energy densities for nuclear shieldings. Compared to previously evaluated simpler local hybrids without a CF, appreciable improvements are found for proton shieldings. Furthermore, the recent LH20t functional is still competitive with the outstanding performance of the uncalibrated LH12ct-SsirSVWN and LH12ct-SsifSVWN LHs for heavier nuclei, suggesting that LH20t is possibly the most robust choice of any rung-four functional for computing the nuclear shieldings of main-group nuclei so far. Interestingly, the presence of a CF in the functional significantly reduces the number of artifacts introduced by the widely used Maximoff-Scuseria framework to treat the local kinetic energy τ. The latter occurs in so-called t-LMFs used in many of the present local hybrids. In any case, the use of Dobson's current-density functional framework is also recommended with more advanced calibrated τ-dependent local hybrid functionals. |
| Databáze: | OpenAIRE |
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