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Updated: Jul 3, 2025

Excitonic Hamiltonians for Calculating Optical Absorption Spectra and Optoelectronic Properties of Molecular Aggregates and Solids
Published on: May 27, 2020
Excited States by Coupling Piris Natural Orbital Functionals with the Extended Random-Phase Approximation
Juan Felipe Huan Lew-Yee1,2, Iván Alejandro Bonfil-Rivera1, Mario Piris2,3,4
1Departamento de Física y Química Teórica, Facultad de Química, Universidad Nacional Autónoma de México, México City C.P. 04510, Mexico.
This study introduces the Piris natural orbital functionals-extended random-phase approximation (PNOF-ERPA) method for calculating excited-state energies. The PNOF-ERPA approach shows promising accuracy, especially with increasing electron correlation, for various molecular systems.
Area of Science:
- Quantum Chemistry
- Computational Chemistry
- Theoretical Chemistry
Background:
- Calculating excited-state energies is crucial for understanding molecular properties and reactions.
- Traditional methods can be computationally expensive for larger systems.
- Piris natural orbital functionals (PNOFs) offer a promising avenue for electronic structure calculations.
Purpose of the Study:
- To develop and evaluate a novel method, PNOF-ERPA, for computing excited-state energies.
- To assess the performance of different PNOF variants (PNOF5, PNOF7, GNOF) in conjunction with ERPA.
- To investigate the impact of electron correlation on excited-state energy calculations.
Main Methods:
- Coupling reconstructed second-order reduced density matrices from PNOFs with the extended random-phase approximation (ERPA).
- Implementing and testing PNOF-ERPA, including specific variants PNOF-ERPA0, PNOF-ERPA1, and PNOF-ERPA2.
- Comparing results against the established configuration interaction (CI) method for validation.
Main Results:
- The PNOF-ERPA method demonstrated good accuracy for the first excited states of small molecules (H2, HeH+, LiH, Li2, N2).
- Accuracy improved with higher-order ERPA approximations (ERPA0 < ERPA1 < ERPA2).
- Global NOF (GNOF) provided better results for larger systems by including more electron correlation, while PNOF5 was effective for smaller systems.
Conclusions:
- The extension of PNOFs to excited-state calculations via PNOF-ERPA is successful.
- PNOF-ERPA presents a viable and promising computational method for future applications in excited-state chemistry.
- The choice of PNOF functional is important for accuracy, particularly concerning electron correlation in larger molecules.
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