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Updated: Sep 6, 2025

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
Published on: April 8, 2020
Efficient implementation of molecular CCSD gradients with Cholesky-decomposed electron repulsion integrals
Anna Kristina Schnack-Petersen1, Henrik Koch2, Sonia Coriani1
1Department of Chemistry, Technical University of Denmark, 2800 Kongens Lyngby, Denmark.
This study introduces an efficient computational method for calculating molecular gradients using coupled cluster singles and doubles (CCSD) theory. The new approach significantly reduces computational time for geometry optimizations, making complex molecular studies more accessible.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Theoretical Chemistry
Background:
- Coupled cluster singles and doubles (CCSD) is a high-level quantum chemistry method for accurate molecular electronic structure calculations.
- Calculating gradients for CCSD is computationally intensive, posing a bottleneck for molecular geometry optimizations.
Purpose of the Study:
- To develop and implement an efficient computational scheme for ground and excited state CCSD gradients.
- To leverage Cholesky decomposition of electron repulsion integrals for improved computational performance.
Main Methods:
- Implementation of CCSD gradients utilizing Cholesky-decomposed electron repulsion integrals.
- Application of inner projection techniques to avoid large intermediate storage (e.g., V3O, V4 arrays).
- Avoidance of storing Cholesky vector derivatives.
Main Results:
- The new implementation achieves efficient calculation of CCSD gradients, with gradient computation taking less than 10% of total optimization time.
- Significant reduction in computational time per optimization cycle compared to previous inner projection methods.
- Successful geometry optimization of the retinal molecule (C20H28O) at the CCSD/aug-cc-pVDZ level.
Conclusions:
- The developed method offers a computationally efficient approach for CCSD gradient calculations.
- This advancement facilitates more feasible geometry optimizations for complex molecular systems.
- The implementation demonstrates practical utility in theoretical chemistry research.
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