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Basis Set Limit of CCSD(T) Energies: Explicit Correlation Versus Density-Based Basis-Set Correction
Dávid Mester1,2,3, Mihály Kállay1,2,3
1Department of Physical Chemistry and Materials Science, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, Hungary.
Density-based and explicitly correlated methods effectively reduce basis-set incompleteness error in quantum chemistry calculations. Density-corrected coupled-cluster methods offer a competitive balance of accuracy and computational cost.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Theoretical Chemistry
Background:
- Basis-set incompleteness error is a significant challenge in wave function methods.
- Explicitly correlated and density-based correction approaches aim to mitigate this error.
- Previous methods often involve high computational costs.
Purpose of the Study:
- To compare explicitly correlated and density-based basis-set correction approaches.
- To present an efficient implementation of the density-based scheme using density-fitting.
- To evaluate the performance of these methods for MP2, CCSD, and CCSD(T) calculations.
Main Methods:
- Thorough comparison of explicitly correlated and density-based basis-set correction methods.
- Efficient implementation of density-based scheme with density-fitting approximation.
- Testing against complete basis set references for MP2, CCSD, and CCSD(T).
Main Results:
- Density-based correction with CABS-corrected Hartree-Fock energies is robust but does not outperform explicitly correlated methods.
- Density-corrected CCSD and CCSD(T) methods are computationally cheaper (roughly half the cost) than explicitly correlated variants.
- An incremental approach for CCSD and CCSD(T) using CABS correction and explicitly correlated MP2 contributions yields excellent results (<1 kcal/mol) with low computational expense.
Conclusions:
- Density-based corrections offer a computationally efficient way to reduce basis-set incompleteness error.
- Density-corrected coupled-cluster methods provide a competitive alternative to explicitly correlated methods due to reduced computational cost.
- The proposed incremental approach achieves high accuracy for thermochemical properties with minimal computational overhead.
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