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Published on: April 8, 2020
Predicting Complete Basis Set Limit Quasiparticle Energies from Triple-ζ Calculations.
Dario Baum1, Lucas Visscher1, Arno Förster1
1Department of Chemistry and Pharmaceutical Sciences, Vrije Universiteit Amsterdam, De Boelelaan 1108, 1081 HZ Amsterdam, The Netherlands.
We developed a linear model to predict basis set incompleteness errors in GW quasi-particle (QP) energies using only orbital kinetic energy. This method accurately extrapolates QP energies to the complete basis set limit, improving computational chemistry accuracy.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Materials Science
Background:
- Basis set incompleteness errors (BSIEs) are significant in GW calculations.
- Accurate prediction of quasi-particle (QP) energies is crucial for electronic structure.
- Existing extrapolation methods can be computationally expensive or inaccurate.
Purpose of the Study:
- To develop a simple linear model for estimating BSIEs in GW QP energies.
- To enable accurate extrapolation of QP energies to the complete basis set (CBS) limit.
- To provide a computationally efficient alternative to traditional extrapolation techniques.
Main Methods:
- A linear model was developed using orbital kinetic energy to predict BSIEs.
- The model was parametrized for G0W0, qsGW, and vertex-corrected GW methods.
- Reference CBS limit values were obtained using extensive correlation-consistent basis sets (TZ/6Z) for molecules with 10 elements.
Main Results:
- The developed model achieves BSIE extrapolation to the CBS limit with 20-30 meV accuracy for Gaussian- and Slater-type orbital basis sets.
- The model allows extrapolation from triple-zeta (TZ) basis sets.
- The commonly used inverse linear extrapolation method was found to produce larger errors unless a quadruple-zeta calculation is included.
Conclusions:
- A simple linear model effectively estimates BSIEs for GW QP energies.
- The model provides accurate CBS extrapolation, particularly useful for Gaussian- and Slater-type orbital basis sets.
- This approach offers a more accurate and efficient way to obtain reliable QP energies compared to standard extrapolation methods.
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