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Improving Rydberg Excitations within Time-Dependent Density Functional Theory with Generalized Gradient
Shaohong L Li1, Donald G Truhlar1
1Department of Chemistry, Chemical Theory Center, and Supercomputing Institute, University of Minnesota , Minneapolis, Minnesota 55455, United States.
This study improves time-dependent density functional theory (TDDFT) calculations for Rydberg states by modifying generalized gradient approximation (GGA) functionals. The new method accurately predicts excitation energies, enhancing its use in spectroscopy and photochemistry.
Area of Science:
- Computational chemistry
- Quantum mechanics
- Theoretical physics
Background:
- Time-dependent density functional theory (TDDFT) with conventional generalized gradient approximation (GGA) functionals underestimates Rydberg state excitation energies.
- This limitation hinders applications in spectroscopy and photochemistry.
Purpose of the Study:
- To develop a modified GGA functional scheme within TDDFT to accurately predict Rydberg excitation energies.
- To maintain accuracy for valence excitations and ground-state thermochemical energetics.
Main Methods:
- A scheme modifying the exchange-enhancement factor of GGA functionals was developed.
- The modified scheme was applied to a hybrid GGA functional within the TDDFT framework.
- Tested on datasets of valence and Rydberg excitations and atomization energies.
Main Results:
- The modified GGA functionals show improved accuracy for Rydberg excitations.
- The scheme successfully retains accuracy for valence excitations and thermochemical properties.
- Encouraging results were obtained from tests on various datasets.
Conclusions:
- The developed scheme offers a simple and flexible approach to improve TDDFT calculations for Rydberg states.
- This method can be used to correct existing functionals and guide the development of new ones.
- Enhanced accuracy in predicting excitation energies expands TDDFT's utility in spectroscopy and photochemistry.
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