Damped Linear Response TDDFT with Range-Separated Functionals and Density Fitting
Pierpaolo D'Antoni1, Daniele Toffoli1, Mauro Stener1,2
1Dipartimento di Scienze Chimiche e Farmaceutiche, Università di Trieste, Via Giorgieri 1, 34127 Trieste, Italy.
This study introduces an efficient computational method using Resolution of the Identity (RI) for Range-Separated (RS) functionals in time-dependent density functional theory (TDDFT). The enhanced technique accurately predicts photoabsorption spectra, even for large molecular systems.
Area of Science:
- Computational Chemistry
- Theoretical Chemistry
- Quantum Chemistry
Background:
- Time-dependent density functional theory (TDDFT) is crucial for simulating molecular electronic excited states.
- Range-separated (RS) exchange-correlation (xc-) functionals offer improved accuracy but can be computationally expensive.
- Efficient methods are needed to apply advanced functionals to larger systems.
Purpose of the Study:
- To enhance the computational efficiency of RS-xc functionals within TDDFT.
- To implement the Resolution of the Identity (RI) technique for TDDFT calculations.
- To validate the accuracy and efficiency of the RI-implemented method for photoabsorption spectra prediction.
Main Methods:
- Employed the Resolution of the Identity (RI) technique to approximate integrals.
- Integrated RI into the polTDDFT algorithm, a complex damped polarization method.
- Utilized the Hybrid Diagonal Approximation for RS-xc functionals.
- Implemented within the AMS/ADF program suite.
Main Results:
- Demonstrated excellent accuracy and computational efficiency compared to the Casida algorithm.
- Validated on a model ethylene-tetrafluoroethylene charge-transfer system.
- Successfully reproduced the experimental photoabsorption spectrum of a large donor-acceptor-acceptor triad.
Conclusions:
- The RI-based TDDFT method provides a reliable and computationally efficient tool for predicting photoabsorption spectra.
- The method accurately captures charge-transfer transitions.
- Suitable for applications to large molecular systems up to several hundred atoms.
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