We propose a simple procedure that restores the ionization potential theorem as the sole tuning criterion for both the long- and short-range Fock exchange of the range-separated hybrid functional. The procedure works by screening out an opposing effect of the short-range Fock fraction at long range, through the 1/ εr dielectric correction in combination with a popular continuum solvation model. Our method proves to be a consistent and accurate way of tuning for both the isolated and solvated molecules.
Three novel green
thermally activated delayed fluorescence (TADF)
materials, (5,5′-bis(4-(9,9-dimethylacridin-10(9H)-yl)phenyl)-2,2′-bipyrimidine (22bpmAc), 10,10′-([2,5′-bipyrimidine]-2′,5-diylbis(4,1-phenylene))bis(9,9-dimethyl-9,10-dihydroacridine)
(25bpmAc), and 2,2′-bis(4-(9,9-dimethylacridin-10(9H)-yl)phenyl)-5,5′-bipyrimidine (55bpmAc)) based
on bipyrimidine cores as the new electron-accepting units and acridine
as the electron-donating unit were designed, synthesized, and applied
as green emitters in TADF devices. The TADF emitters were designed
to have different nitrogen orientations in the bipyrimidine core.
Two emitters, 25bpmAc and 55bpmAc, showed higher quantum efficiencies
and narrower emission spectra relative to 22bpmAc. The former emitters
have restricted geometry by hydrogen-bonding interactions on a central
core, whereas the latter emitter does not have hydrogen bonding. The
intramolecular hydrogen-bonding interaction suppressed a nonradiative
mechanism in the 25bpmAc and 55bpmAc TADF emitters. The TADF device
fabricated with 55bpmAc showed a maximum external quantum efficiency
of 24.9% for the color coordinates (0.22, 0.46). This work demonstrates
the importance of intramolecular hydrogen-bonding interactions for
designing highly efficient TADF emitters to suppress nonradiative
mechanism. .
An accurate prediction
of chemical shifts (δ) to elucidate
molecular structures has been a challenging problem. Recently, noble
machine learning architectures achieve accurate prediction performance,
but the difficulty of building a huge chemical database limits the
applicability of machine learning approaches. In this work, we demonstrate
that the prior knowledge gained from the simulation database is successfully
transferred into the problem of predicting an experimentally measured
δ. Although both simulation and experimental databases are vastly
different in chemical perspectives, reliable accuracy for δ
is achieved by additional training with randomly sampled small numbers
of experimental data. Furthermore, the prior knowledge allows us to
successfully train the model on the more focused chemical space that
the experimental database sparsely covers. The proposed approach,
the knowledge transfer from the simulation database, can be utilized
to enhance the usability of the local experimental database.
If thermally activated delayed fluorescence
(TADF) in organic molecules
operates on the premise of a minimal change between the singlet and
triplet excited states, persistent room-temperature phosphorescence
(PRTP) seems to rely on distinct changes among the excited states.
Understanding the nature of such changes at the density functional
theory level requires that the accuracy be preserved in the geometries
of both the ground and excited states. We first show that adding dielectric
effects is necessary not only for identifying the relevant charge-transfer
excited states but also for calculating the geometries, nearly free
of the size consistency error inherent in the optimally tuned range-separated
hybrid functional. We use PTZ-BzPN (phenothiazine bonded to benzophenone),
a conformationally bistable molecule known to alternate between PRTP
and TADF, to investigate different roles played by individual molecular
parameters, namely, the reorganization energy, singlet–triplet
energy gap, and spin–orbit coupling. We find that PRTP is active
when both the reorganization energy and singlet–triplet gap
are finite, which is realized by the spin-adaptive geometry of a carbonyl
linkage that switches on orbital orthogonality in the singlet and
off in the triplet. With increasing dielectric constant, the forward
intersystem crossing rate remains constant. In TADF, on the other
hand, the forward and reverse intersystem crossing rates decrease
to converge with each other.
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