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Published on: July 19, 2019
Does the ionization potential condition employed in QTP functionals mitigate the self-interaction error?
Duminda S Ranasinghe1, Johannes T Margraf1, Yifan Jin1
1Quantum Theory Project, University of Florida, Gainesville, Florida 32611, USA.
Density functional approximations (DFAs) can accurately predict ionization potentials. New functionals optimized for this and for reducing self-interaction errors show improved performance in various chemical tests.
Area of Science:
- Quantum Chemistry
- Computational Chemistry
- Materials Science
Background:
- Kohn-Sham eigenvalues are often interpreted as vertical ionization potentials (IPs).
- Density functional approximations (DFAs) are evaluated for fractionally charged systems to assess self-interaction errors (MSIEs).
- Satisfying the IP theorem in DFAs is linked to mitigating MSIEs.
Purpose of the Study:
- To demonstrate that optimizing DFAs for IPs also reduces MSIEs.
- To introduce and test IP-optimized (CAM-QTP) and MSIE-optimized (rCAM-B3LYP) functionals.
- To compare the performance of these new functionals against the parent CAM-B3LYP.
Main Methods:
- Formal and numerical justification for interpreting Kohn-Sham eigenvalues as IPs.
- Development and application of IP-optimized QTP functionals (reparameterized CAM-B3LYP).
- Testing functionals on He2+ potential curves and evaluating MSIEs.
Main Results:
- IP-optimized QTP functionals exhibit reduced MSIEs.
- MSIE-optimized rCAM-B3LYP functionals show accurate orbital eigenvalues.
- Both CAM-QTP and rCAM-B3LYP demonstrate improved dissociation limits, fundamental gaps, and thermochemical accuracy over CAM-B3LYP.
Conclusions:
- Optimizing functionals for vertical ionization potentials effectively mitigates self-interaction errors.
- The developed CAM-QTP and rCAM-B3LYP functionals offer enhanced accuracy for various chemical properties.
- This work unifies the perspectives of IP prediction and MSIE reduction in DFAs.
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