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Updated: Jul 14, 2025

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
Published on: April 8, 2020
A larger basis set describes atomization energy core-valence correction better than a higher-order coupled-cluster
Aleksandr A Chamkin1, Elena S Chamkina1
1A.N.Nesmeyanov Institute of Organoelement Compounds of Russian Academy of Sciences Russia, Vavilova St. 28, bld. 1, INEOS, 119334, Moscow, Russian Federation. chalex@ineos.ac.ru.
Accurate core-valence corrections for atomization energy require larger basis sets with lower-level coupled-cluster methods, not vice versa. This improves computational efficiency and accuracy for advanced quantum chemistry calculations.
Area of Science:
- Computational Quantum Chemistry
- Theoretical Chemistry
- Physical Chemistry
Background:
- Accurate computation of atomization energies is crucial in theoretical chemistry.
- Core-valence corrections are essential for high-precision calculations.
- Coupled-cluster methods are widely used but require careful parameterization.
Purpose of the Study:
- To assess the accuracy of coupled-cluster (CC) methods for core-valence (CV) corrections to atomization energies.
- To evaluate the impact of basis set size and CC truncation levels on CV correction accuracy.
- To investigate different extrapolation techniques for improving computational results.
Main Methods:
- Employed coupled-cluster methods up to CCSDTQP truncation levels.
- Utilized (aug-)cc-pwCVnZ basis sets (n=D, T, Q, 5).
- Applied canonical, flexible Helgaker, and Riemann zeta function extrapolation techniques.
Main Results:
- Larger basis sets with lower-level CC methods yield more accurate CV corrections, except for CCSD.
- CCSD(T) calculations benefit from larger basis sets, leading to faster computations with modern codes.
- Higher-order or all-electron methods are important for accurate geometry optimizations.
Conclusions:
- Optimizing basis set and CC method combinations is key for accurate CV corrections.
- The findings provide guidance for achieving state-of-the-art accuracy in computational chemistry.
- Understanding these relationships enhances the reliability of theoretical predictions in chemical studies.
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