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Updated: Nov 1, 2025

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Published on: May 27, 2020
Spin-Scaled Range-Separated Double-Hybrid Density Functional Theory for Excited States
1Department of Physical Chemistry and Materials Science, Budapest University of Technology and Economics, P.O. Box 91, H-1521 Budapest, Hungary.
New spin-scaling techniques enhance range-separated double-hybrid (RS-DH) methods for calculating electronic excitations. These improved computational approaches offer accurate predictions for challenging excitation types.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Theoretical Chemistry
Background:
- Density Functional Theory (DFT) is a powerful tool for electronic structure calculations.
- Time-dependent DFT (TDDFT) extends DFT to describe electronic excitations.
- Double-hybrid (DH) functionals offer improved accuracy but can be computationally expensive.
Purpose of the Study:
- To combine range-separated (RS) double-hybrid (DH) TDDFT with spin-scaling techniques.
- To develop and evaluate spin-component-scaled (SCS) and scaled-opposite-spin (SOS) variants.
- To assess the performance of these new methods for a wide range of electronic excitations.
Main Methods:
- Implementation of spin-scaling techniques (SCS and SOS) within the RS-DH framework.
- Systematic benchmark calculations on nearly 500 electronic excitations.
- Comparison with existing prominent DH functionals and nonempirical functionals.
Main Results:
- The RS-DH ansatz demonstrates robustness across various excitation types.
- SCS variants consistently improve accuracy compared to the original RS-DH method.
- SOS variants maintain the benefits of RS-DH while reducing computational cost.
- Nonempirical functionals show balanced performance for general applications.
- Specific methods are recommended for particular types of excitations.
Conclusions:
- The developed SCS and SOS variants of RS-DH TDDFT are effective for accurate excitation energy calculations.
- These methods provide valuable insights into the performance of DH functionals.
- The study guides the selection of appropriate computational methods for specific excitation problems.
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