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Published on: November 12, 2016
Benchmarking NMR indirect nuclear spin-spin coupling constants: SOPPA, SOPPA(CC2), and SOPPA(CCSD) versus CCSD
Hanna Kjaer1, Stephan P A Sauer, Jacob Kongsted
1Department of Chemistry, University of Copenhagen, Universitetsparken 5, DK-2100 Copenhagen Ø, Denmark. hanna@kemi.ku.dk
A new computational method, SOPPA(CC2), offers a faster way to calculate nuclear spin-spin coupling constants. This method scales efficiently, enabling routine calculations for larger molecules previously limited by slower methods.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Spectroscopy
Background:
- Accurate calculation of NMR indirect nuclear spin-spin coupling constants is crucial in chemistry.
- Existing high-accuracy methods like CCSD and SOPPA(CCSD) have a high computational cost (N^6 scaling).
- This computational expense limits their application to small molecules (10-15 non-hydrogen atoms).
Purpose of the Study:
- To develop a more computationally efficient method for calculating spin-spin coupling constants.
- To introduce the SOPPA(CC2) method as a faster alternative to SOPPA(CCSD).
- To assess the performance and accuracy of SOPPA(CC2) compared to existing methods.
Main Methods:
- Development of the SOPPA(CC2) method, replacing CCSD amplitudes with CC2 amplitudes in SOPPA(CCSD).
- Comparison of SOPPA(CC2) performance against SOPPA and SOPPA(CCSD) using benchmark molecules.
- Investigation of basis set dependence using HuzIV-su4, ccJ-pVTZ, and ccJ-pVQZ basis sets.
Main Results:
- The new SOPPA(CC2) method exhibits N^5 scaling, significantly improving computational efficiency.
- SOPPA(CC2) demonstrates comparable accuracy to SOPPA(CCSD) for calculating spin-spin coupling constants.
- Basis set choice influences the accuracy of the calculated coupling constants.
Conclusions:
- SOPPA(CC2) provides a computationally feasible approach for routine calculation of NMR spin-spin coupling constants.
- This method extends the applicability of accurate calculations to larger and more complex molecular systems.
- The developed method balances accuracy and computational cost effectively.
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