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Calculating vibrational excitation energies using tensor-decomposed vibrational coupled-cluster response theory
Niels Kristian Madsen1, Rasmus Berg Jensen1, Ove Christiansen1
1Department of Chemistry, University of Aarhus, Langelandsgade 140, DK-8000 Aarhus C, Denmark.
This study introduces tensor-decomposed vibrational coupled cluster (CP-VCC) response theory for calculating vibrational excitation energies. This new method efficiently computes molecular vibrations, improving memory and speed for complex molecules.
Area of Science:
- Quantum Chemistry
- Computational Spectroscopy
- Molecular Physics
Background:
- Vibrational coupled cluster (VCC) theory is a powerful method for calculating molecular vibrational properties.
- Previous VCC implementations required significant computational resources due to large tensor constructions.
- Calculating vibrational excitation energies is crucial for understanding molecular behavior and spectra.
Purpose of the Study:
- To implement and present the first application of tensor-decomposed vibrational coupled cluster (CP-VCC) response theory.
- To develop an efficient method for calculating vibrational excitation energies.
- To demonstrate the applicability of CP-VCC for molecules of increasing complexity.
Main Methods:
- Generalization of the CP-VCC algorithm to incorporate Jacobian matrix transformations for response theory.
- Development of a novel eigenvalue solver for CP-VCC excitation energy computations.
- Systematic investigation of numerical thresholds for controlling accuracy and enabling black-box calculations.
Main Results:
- Successful calculation of the 20 lowest vibrational excitation energies for 10 four-atomic molecules.
- Efficient computation of vibrational eigenstates for polycyclic aromatic hydrocarbons (PAHs) up to PAH8 (120 modes).
- Demonstration that tensor decomposition errors can be controlled via numerical thresholds, ensuring accuracy.
Conclusions:
- The tensor-decomposed VCC response theory provides an efficient and accurate approach for calculating vibrational excitation energies.
- The method significantly reduces memory and computational time compared to traditional full-tensor approaches.
- The developed black-box approach simplifies calculations, requiring minimal user input for high-quality results.
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