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Spin-Flip TDDFT within the Sternheimer Formulation: A Gaussian and Plane Wave Implementation
Luis I Hernandez-Segura1, Sandra Luber1
1Department of Chemistry, University of Zürich, 8057 Zürich, Switzerland.
This study introduces a robust spin-flip time-dependent density functional theory (SF-TDDFT) implementation for calculating excited states and molecular geometries. The new method shows good accuracy for optimized structures, crucial for computational chemistry research.
Area of Science:
- Quantum Chemistry
- Computational Physics
- Theoretical Chemistry
Background:
- Accurate calculation of electronic excited states is vital for understanding molecular properties and reactions.
- Existing methods often face challenges with computational cost and accuracy, particularly for excited-state properties.
Purpose of the Study:
- To implement and validate a noncollinear spin-flip time-dependent density functional theory (SF-TDDFT) within the Tamm-Dancoff approximation and Sternheimer formulation.
- To assess the accuracy of this new implementation for calculating vertical excitation energies and optimized molecular geometries.
Main Methods:
- Developed a stabilized noncollinear kernel for SF-TDDFT using a screening method for numerical integration.
- Employed generalized gradient approximation (GGA) functionals (PBE, PBE0) for calculations.
- Benchmarked results against high-level theoretical data (QUESTDB, CCSD, CISD, FCI) for vertical excitations and molecular geometries.
- Extended the implementation to include the auxiliary density matrix method (ADMM).
Main Results:
- The PBE and PBE0 functionals showed a slight underestimation of vertical excitation energies (average deviation of -0.3 eV).
- Optimized molecular geometries using the noncollinear PBE and PBE0 functionals closely matched high-level reference data (mean deviations of 0.010 Å and -0.004 Å, respectively).
- The ADMM extension with PBE0 yielded bond length deviations of approximately 0.003 Å.
Conclusions:
- The implemented noncollinear SF-TDDFT provides a robust and accurate scheme for excited-state and geometry calculations.
- The method shows promising accuracy for molecular structure optimization, outperforming previous collinear implementations.
- The extension to ADMM further enhances the accuracy for bond length calculations.
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