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Reducing the Cost of CCSD Basis Set Extrapolation in Ab Initio Computational Thermochemistry
James H Thorpe1, Peter R Franke2, John F Stanton2
1Chemical Sciences and Engineering Division, Argonne National Laboratory, Lemont, Illinois 60439, United States.
We present approximations for coupled cluster singles and doubles (CCSD) contributions in computational chemistry. SDQ-MP4 is proposed as a cost-effective CCSD basis-set intermediate for sub-chemical accuracy calculations.
Area of Science:
- Computational Chemistry
- Theoretical Chemistry
- Quantum Chemistry
Background:
- Coupled cluster singles and doubles (CCSD) calculations are crucial for accurate theoretical predictions.
- Approximating CCSD contributions is necessary to reduce computational cost.
- Existing methods like MP2 have limitations in accuracy and applicability.
Purpose of the Study:
- To develop and evaluate approximations to CCSD contributions for total atomization energies.
- To identify cost-effective basis-set intermediates for sub-chemical accuracy calculations.
- To propose new schemes for approximating large CCSD basis set limits.
Main Methods:
- Benchmarking approximations against the HEAT+CH4 test suite.
- Evaluating MP2 and SDQ-MP4 as basis-set intermediates.
- Developing a "CBS-like" scheme combining MP2 and SDQ-MP4.
- Assessing SDQ-MP4 for harmonic and fundamental frequency computations.
Main Results:
- MP2 is effective without empirical scaling for certain accuracy ranges.
- SDQ-MP4 offers significant improvement over MP2 as a basis-set intermediate at reduced cost.
- A "CBS-like" scheme provides a "cheap" three-part approximation of CCSD basis set limits.
- SDQ-MP4 shows promise for accurate zero-point corrections in frequency computations.
Conclusions:
- SDQ-MP4 is recommended as a de facto CCSD basis-set intermediate for sub-chemical accuracy when CCSD is unaffordable.
- The proposed "CBS-like" scheme enables affordable approximations of CCSD basis set limits.
- SDQ-MP4 facilitates accurate harmonic and fundamental frequency computations using composite methods.
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