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Published on: July 28, 2022
(SOS1-)PBE-DH-INVEST double hybrid functionals for INVEST systems: Validation for azaphenalene compounds
P Maiz-Pastor1, Á J Pérez-Jiménez1, J C Sancho-García1
1Department of Physical Chemistry, University of Alicante, E-03080 Alicante, Spain.
New double-hybrid density functionals accurately describe INVEST systems, crucial for organic light-emitting diodes and photocatalysis. These methods improve upon traditional approaches by including double-excitation effects for accurate singlet-triplet energy gaps.
Area of Science:
- Computational chemistry
- Theoretical chemistry
- Quantum chemistry
Background:
- INVEST systems are vital for organic light-emitting diodes and photocatalysis.
- Accurate theoretical description of INVEST systems is challenging due to electron correlation and double excitations.
- Conventional time-dependent density functional theory methods often fail to capture these effects.
Purpose of the Study:
- To assess the performance of PBE-DH-INVEST and SOS1-PBE-DH-INVEST for describing INVEST systems.
- To evaluate their accuracy in predicting excitation energies and singlet-triplet energy gaps.
- To compare these new functionals against established methods and reference data.
Main Methods:
- Utilized the PBE-DH-INVEST and SOS1-PBE-DH-INVEST double-hybrid density functionals.
- Employed the Tamm-Dancoff approximation with the aug-cc-pVDZ basis set.
- Computed S1 ← S0 and T1 ← S0 excitation energies and ΔEST values for azaphenalene derivatives (AP117 set).
- Compared results against CC2 reference data.
Main Results:
- PBE-DH-INVEST demonstrated a robust description of excitation energies and singlet-triplet gaps.
- The inclusion of double-excitation contributions (Δ(D)) was essential for capturing the inverted energetic ordering of INVEST systems.
- SOS1-PBE-DH-INVEST provided competitive results with lower computational cost but slightly higher errors.
- Both functionals showed marked improvement over hybrid treatments lacking double-excitation corrections.
Conclusions:
- PBE-DH-INVEST and its variant offer reliable theoretical tools for studying INVEST systems.
- Accurate modeling of double excitations is critical for understanding INVEST system properties.
- These functionals advance the theoretical description of materials relevant to optoelectronics and catalysis.
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