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Range-separated hybrid and double-hybrid density functionals: A quest for the determination of the range-separation
Éric Brémond1, Ángel José Pérez-Jiménez2, Juan Carlos Sancho-García2
1Université de Paris, ITODYS, CNRS, F-75006 Paris, France.
The Journal of Chemical Physics
|July 3, 2020
Summary
A new method accurately determines the range-separation parameter in density functionals by using the hydrogen atom's energy. This approach offers a reliable and efficient alternative to optimal tuning for computational chemistry.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Materials Science
Background:
- Range-separated hybrid and double-hybrid density functionals are crucial in computational chemistry.
- Determining the range-separation parameter is key to their accuracy.
- Existing methods like optimal tuning (OT) can be computationally intensive.
Purpose of the Study:
- To introduce and validate a new, simple method for determining the range-separation parameter.
- To assess the performance of this new method against the established optimal tuning (OT) approach.
- To confirm the reliability and efficiency of the proposed method for density functional theory (DFT) calculations.
Main Methods:
- Derived a novel route for range-separation parameter determination.
- Imposed a constraint on exchange-correlation energy to recover the hydrogen atom's total energy.
- Statistically compared the new method's parameters with those from the optimal tuning (OT) approach.
Main Results:
- The new method closely agrees with the optimal tuning (OT) approach.
- The method demonstrates comparable performance in computing properties sensitive to self-interaction errors, such as ionization potentials.
- Validated the reliability and accuracy of the new range-separation parameter determination technique.
Conclusions:
- The proposed method is a reliable and efficient alternative to the optimal tuning (OT) procedure.
- It maintains the accuracy and efficiency of standard Kohn-Sham density-functional theory.
- This work simplifies parameter determination in advanced density functional approximations.
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