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Updated: Dec 29, 2025

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
Published on: April 8, 2020
A straightforward a posteriori method for reduction of density-fitting error in coupled-cluster calculations
1Faculty of Chemistry, University of Warsaw, Pasteura 1, 02-093 Warsaw, Poland.
This study introduces a straightforward post-calculation method to significantly reduce density-fitting errors in coupled-cluster energies. The approach enhances accuracy for molecular calculations, offering substantial error reduction with minimal computational overhead.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Theoretical Chemistry
Background:
- Density-fitting approximations are widely used to reduce the computational cost of coupled-cluster (CC) calculations.
- However, these approximations introduce errors in the calculated total energies.
- Accurate removal of these errors is crucial for reliable CC energy predictions.
Purpose of the Study:
- To develop a simple, a posteriori method for correcting density-fitting errors in coupled-cluster energies.
- To assess the effectiveness of the proposed method for various molecular systems and basis sets.
- To evaluate the computational cost associated with the error correction procedure.
Main Methods:
- The method treats the difference between exact and density-fitted integrals as a perturbation.
- Simplified response-like equations are employed to compute corrected amplitudes and energy corrections.
- The approach is tested at the coupled-cluster singles and doubles (CCSD) level of theory.
Main Results:
- Significant fractions of density-fitting error were removed from total coupled-cluster energies.
- Average error reductions of approximately 10-fold and 20-fold were observed with double-zeta and triple-zeta basis sets, respectively.
- Similar error reductions were achieved for interaction energies of model complexes.
Conclusions:
- The proposed method effectively corrects density-fitting errors in coupled-cluster calculations.
- The computational cost is minimal compared to the main CC iterations.
- The method's applicability extends beyond density-fitting to other integral decomposition schemes.
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