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Optimized curvilinear coordinates in vibration correlation methods: Quasi-degenerate perturbation theory
Andrey Yachmenev1, Guntram Rauhut1
1Institute for Theoretical Chemistry, University of Stuttgart, Pfaffenwaldring 55, 70569 Stuttgart, Germany.
Researchers developed new curvilinear molecular vibrational coordinates using normalizing flows. These optimized coordinates significantly improve vibrational energy calculations for molecules like H2CO, enhancing accuracy for various vibrational bands.
Area of Science:
- Quantum Chemistry
- Molecular Spectroscopy
- Computational Chemistry
Background:
- Standard valence coordinates can limit accuracy in molecular vibrational energy calculations.
- Vibrational self-consistent field (VSCF) methods are widely used but can be sensitive to coordinate choices.
- Correlated calculations often require sophisticated coordinate systems for high precision.
Purpose of the Study:
- To introduce and validate a novel set of curvilinear molecular vibrational coordinates.
- To improve the accuracy of vibrational energy calculations within the VSCF framework.
- To assess the performance of these coordinates for correlated calculations using perturbation theory.
Main Methods:
- Utilized normalizing flow techniques to construct curvilinear molecular vibrational coordinates.
- Optimized these coordinates using the vibrational self-consistent field (VSCF) framework.
- Assessed coordinate quality with second-order quasi-degenerate vibrational perturbation theory (QD-VPT2).
Main Results:
- Optimized curvilinear coordinates significantly improved vibrational energies for H2CO, trans-HCOOH, and CH3F.
- Enhancements were observed across fundamental, combination, and overtone vibrational bands.
- The new coordinates effectively handled states with strong Fermi resonances.
Conclusions:
- The developed curvilinear coordinates offer substantial improvements over standard valence coordinates.
- These coordinates reduce vibrational correlation by redistributing Hamiltonian couplings.
- This approach provides a more accurate foundation for computational molecular spectroscopy.
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