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Accurate Hybrid Density Functionals with UW12 Correlation
Zack M Williams1, Timothy C Wiles1, Frederick R Manby1
1Centre for Computational Chemistry, School of Chemistry, University of Bristol, Bristol BS8 1TS, U.K.
We introduce two new hybrid functionals, B-LYP-osUW12 and fB-LYP-osUW12, for improved computational chemistry. B-LYP-osUW12 matches double hybrid accuracy without needing virtual orbitals.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Density Functional Theory
Background:
- Previous work introduced the single-parameter hybrid functional UW12, incorporating a novel correlation contribution based on the Unsöld approximation.
- This UW12 model mirrors the explicitly correlated component of MP2-F12 theory and is expressible via the single-particle reduced density matrix.
Purpose of the Study:
- To investigate hybrid functionals incorporating UW12 correlation, with a focus on reducing self-interaction error.
- To propose and evaluate new hybrid functionals, specifically B-LYP-osUW12 and fB-LYP-osUW12, designed for enhanced accuracy.
Main Methods:
- Development and testing of novel hybrid density functionals.
- Incorporation of the Unsöld approximation-based correlation contribution (UW12).
- Focus on functionals with a high percentage of exact exchange to mitigate self-interaction error.
Main Results:
- The proposed B-LYP-osUW12 functional demonstrates comparable accuracy to leading double hybrid functionals.
- This new functional achieves high accuracy without the computational requirement of virtual orbitals.
- Evaluation on established test sets confirms the performance of the developed functionals.
Conclusions:
- The B-LYP-osUW12 functional represents a significant advancement in computational chemistry, offering high accuracy and efficiency.
- The findings suggest that hybrid functionals with UW12 correlation and substantial exact exchange are promising for accurate electronic structure calculations.
- The elimination of the need for virtual orbitals in B-LYP-osUW12 offers a practical advantage for computational efficiency.
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