Optimized Pair Natural Orbitals for the Coupled Cluster Methods
Marjory C Clement1, Jinmei Zhang2, Cannada A Lewis1
1Department of Chemistry , Virginia Tech , Blacksburg , Virginia 24061 , United States.
We developed an optimized pair natural orbital (PNO) coupled-cluster singles and doubles (CCSD) method. This approach significantly reduces truncation errors in calculating molecular energies, especially for large systems.
Area of Science:
- Quantum Chemistry
- Computational Chemistry
- Theoretical Chemistry
Background:
- Coupled-cluster singles and doubles (CCSD) is a high-accuracy quantum chemistry method.
- Standard CCSD methods face computational scaling challenges with system size.
- Pair natural orbitals (PNOs) are used to compress the CCSD wave operator, reducing computational cost.
Purpose of the Study:
- To develop an optimized PNO-based CCSD method that minimizes truncation errors.
- To improve the accuracy of PNO-CCSD calculations, especially for large PNO ranks.
- To assess the effectiveness of iteratively optimized PNOs (iPNOs) and perturbative corrections.
Main Methods:
- Formulation of the CCSD method using truncated PNOs.
- Iterative optimization of PNOs (iPNOs) to minimize truncation effects.
- Combination of iPNO optimization with Neese's perturbative correction for PNO incompleteness.
Main Results:
- iPNOs offer moderate improvements for small PNO ranks and significant gains for large ranks.
- PNO truncation errors in CCSD energy are reduced by orders of magnitude in the asymptotic regime.
- The combined iPNO optimization and perturbative correction yields highly accurate approximations to canonical CCSD energies.
- Benchmark calculations show improvements of up to two orders of magnitude in noncovalent binding energies compared to standard PNO approaches.
Conclusions:
- Iteratively optimized PNOs provide a robust strategy for accurate and efficient CCSD calculations.
- The combination of iPNO optimization and perturbative correction is particularly effective for achieving high precision.
- This method significantly reduces computational cost while maintaining high accuracy for electronic structure calculations.
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