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Double-hybrid density-functional theory with density-based basis-set correction
Aurore Znaïda1, Julien Toulouse1
1Laboratoire de Chimie Théorique, Sorbonne Université and CNRS, F-75005 Paris, France.
We present a theory for accelerating basis convergence in double-hybrid approximations using the density-based basis-set correction (DBBSC) method. Our findings show DBBSC efficiently improves accuracy for molecular calculations.
Area of Science:
- Quantum Chemistry
- Computational Chemistry
- Theoretical Chemistry
Background:
- Double-hybrid approximations are widely used in quantum chemistry for accurate molecular property predictions.
- Basis set convergence, the process of achieving results independent of the chosen basis set, is crucial for reliable calculations.
- Accelerating basis set convergence in double-hybrid methods is an ongoing challenge.
Purpose of the Study:
- To develop the theoretical framework for applying the density-based basis-set correction (DBBSC) method to double-hybrid approximations.
- To investigate the impact of uniform coordinate scaling on the accuracy of DBBSC in double-hybrid calculations.
- To demonstrate the efficiency of DBBSC in accelerating basis set convergence for double-hybrid methods.
Main Methods:
- Development of the theoretical justification for DBBSC applied to one-parameter double hybrids.
- Analysis of the exact dependence of the basis-set correction functional on the coupling-constant parameter (λ).
- Inclusion of uniform coordinate scaling of density and basis functions by a factor of 1/λ.
Main Results:
- The exact theory reveals that uniform coordinate scaling is integral to the DBBSC functional for double hybrids.
- Test calculations on molecular atomization energies and reaction barrier heights confirm DBBSC's effectiveness.
- Neglecting uniform coordinate scaling in DBBSC for double hybrids was found to be a reasonable approximation in practice.
Conclusions:
- The DBBSC method significantly accelerates basis set convergence for double-hybrid approximations.
- The developed theory provides a robust foundation for applying DBBSC to enhance computational efficiency and accuracy.
- The study validates the practical utility of DBBSC, even when simplifying assumptions regarding coordinate scaling are made.
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