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Published on: May 27, 2020
Constricted variational density functional theory for spatially clearly separated charge-transfer excitations.
Florian Senn1, Young Choon Park2
1Department of Chemistry, University of Calgary, 2500 University Drive NorthWest, Calgary, Alberta T2N 1N4, Canada.
Constricted Variational Density Functional Theory (CV-DFT) accurately predicts charge-transfer excitation energies. This study analyzes CV-DFT for model systems, revealing insights into charge-transfer behavior and orbital relaxation effects.
Area of Science:
- Quantum Chemistry
- Computational Chemistry
Background:
- Constricted Variational Density Functional Theory (CV-DFT) is a robust method for calculating excitation energies.
- Accurate prediction of charge-transfer (CT) excitation energies is crucial in computational chemistry.
Purpose of the Study:
- To apply and analyze the CV-DFT method for predicting CT excitation energies in model systems.
- To investigate the charge-transfer behavior and the impact of orbital relaxation at large separation distances.
Main Methods:
- Application of the CV-DFT method to ethylene-tetrafluoroethylene (C2H4 × C2F4) and zincbacteriochlorin-bacteriochlorin (ZnBC-BC) complexes.
- Analysis of CV-DFT energies to understand charge-transfer behavior as a function of internuclear distance (R).
- Utilizing the relaxed version of CV(∞)-DFT (R-CV(∞)-DFT) to study orbital relaxation effects.
Main Results:
- The study elucidates the -1/R charge-transfer behavior in CV-DFT for systems at large separation distances.
- The importance of orbital relaxations is highlighted through the R-CV(∞)-DFT method.
- The effects of transition matrix optimization in RSCF-CV(∞)-DFT for large separations were investigated, with proposed gradient restrictions to prevent unwanted transition mixing.
Conclusions:
- CV-DFT provides valuable insights into charge-transfer excitation energies and behavior.
- Orbital relaxation is a critical factor for accurate predictions, especially at extended internuclear distances.
- The developed methods and restrictions enhance the reliability of CV-DFT for complex systems.
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