Benchmarking ionization potentials and electron affinities of potential photovoltaic molecules using DFT/QTP
Hyunsik Kim1, Ajith Perera1, Rodrigo A Mendes1
1Quantum Theory Project, University of Florida, Gainesville, Florida 32611, USA.
The Journal of Chemical Physics
|November 4, 2025
Summary
Accurate prediction of ionization potentials (IPs) and electron affinities (EAs) is crucial for organic photovoltaic materials. QTP functionals combined with G0W0 corrections offer coupled-cluster accuracy at a fraction of the computational cost.
Area of Science:
- Computational chemistry
- Materials science
- Organic electronics
Background:
- Accurate prediction of ionization potentials (IPs) and electron affinities (EAs) is vital for designing organic photovoltaic (OPV) materials.
- Existing computational methods often face trade-offs between accuracy and computational cost.
Purpose of the Study:
- To evaluate the performance of various Kohn-Sham density functional theory (DFT) functionals, including the QTP family, for predicting IPs and EAs.
- To assess the impact of G0W0 corrections and frozen natural orbital (FNO) truncations on computational efficiency and accuracy.
- To compare DFT-based methods with coupled-cluster (CC) theory for IP and EA calculations.
Main Methods:
- Coupled-cluster (CC) theory, specifically ionization potentials (IPs)/electron affinities (EAs)-equation-of-motion (EOM)/coupled-cluster singles and doubles (CCSD) forms.
- Kohn-Sham density functional theory (DFT) using the QTP family and a range of other exchange-correlation functionals.
- One-shot G0W0 corrections applied to DFT results.
- Standard and tailored frozen natural orbital (FNO) truncations to reduce CC computational cost.
Main Results:
- Local and semi-local DFT functionals show significant errors in IP/EA predictions.
- Global hybrids and range-separated hybrids offer improved accuracy over simpler DFT functionals.
- QTP functionals demonstrate performance matching or exceeding other tested functionals.
- G0W0 corrections applied to DFT starting points bring orbital energies into close agreement with CC results.
- Tailored FNO truncations maintain CC accuracy while significantly reducing computational resources.
- QTP00 and G0W0@QTP00 workflows achieve near-CC quality predictions in under a day, drastically reducing computation time compared to full EA-EOM/CCSD.
Conclusions:
- QTP functionals, especially when combined with G0W0 corrections, provide a highly accurate and computationally efficient approach for predicting IPs and EAs.
- Tailored FNO truncations offer a viable strategy for accelerating CC calculations without sacrificing accuracy.
- These advancements can significantly guide the development of next-generation organic photovoltaic materials.
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