The recent idea (Wodyński, A.; Arbuznikov, A.
V.; Kaupp
M. J. Chem. Phys.
2021,
155, 144101) to augment local hybrid functionals by a strong-correlation
(sc) factor obtained from the adiabatic connection in the spirit of
the KP16 model has been extended and applied to generate the accurate
sc-corrected local hybrid functional scLH22t. By damping small values
of the ratio between nondynamical and dynamical correlation entering
the correction factor, it has become possible to avoid double counting
of nondynamical correlation for weakly correlated situations and thereby
preserve the excellent accuracy of the underlying LH20t local hybrid
for such cases almost perfectly. On the other hand, scLH22t improves
substantially over LH20t in reducing fractional-spin errors (FSEs),
in providing improved spin-restricted bond dissociation curves, and
in treating some typical systems with multireference character. The
obtained FSEs are similar to those of the KP16/B13 model and slightly
larger than for B13, but performance for weakly correlated systems
is better than for these two related methods, which are also difficult
to use self-consistently. The recent DM21 functional based on the
training of a deep neural network still performs somewhat better than
scLH22t but allows no physical insights into the origins of reduced
FSEs. Examination of local mixing functions (LMFs) for the corrected
scLH22t and uncorrected LH20t functionals provides further insights:
in weakly correlated situations, the LMF remains essentially unchanged.
Strong-correlation effects manifest in a reduction of the LMF values
in certain regions of space, even to the extent of producing negative
LMF values. It is suggested that this is the mechanism by which also
DM21, which may be viewed as a range-separated local hybrid, is able
to reduce FSEs.