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Published on: May 27, 2020
Generalized gradient approximation exchange energy functional with correct asymptotic behavior of the corresponding
Javier Carmona-Espíndola1, José L Gázquez1, Alberto Vela2
1Departamento de Química, Universidad Autónoma Metropolitana-Iztapalapa, Av. San Rafael Atlixco 186, México D. F. 09340, México.
A new exchange-correlation functional, CAP-PBE, offers competitive performance for various molecular properties. It uniquely improves response functions like polarizabilities due to enhanced molecular orbitals.
Area of Science:
- Quantum Chemistry
- Computational Chemistry
- Materials Science
Background:
- Generalized Gradient Approximation (GGA) functionals are widely used in computational chemistry.
- Accurate prediction of molecular properties requires functionals with correct asymptotic behavior.
Purpose of the Study:
- Develop and evaluate a new non-empirical exchange energy functional (CAP) with correct asymptotic behavior.
- Assess the performance of the CAP functional, particularly in combination with the PBE correlation functional (CAP-PBE).
Main Methods:
- Developed a new non-empirical exchange energy functional of the GGA type.
- Combined the new CAP exchange functional with the PBE correlation functional.
- Tested the CAP-PBE functional against standard datasets for various molecular properties.
Main Results:
- CAP-PBE demonstrates competitive accuracy for heats of formation, ionization potentials, electron affinities, and reaction barriers.
- CAP-PBE shows significant improvements in response functions, such as static and dynamic polarizabilities.
- Improvements are linked to enhanced highest occupied and lowest unoccupied molecular orbitals, not eigenvalue shifts.
Conclusions:
- The CAP-PBE functional is a promising development in GGA-type functionals.
- Its strength lies in accurately describing response properties, making it valuable for electronic structure calculations.
- Further research into the potential's behavior at intermediate distances could lead to even better functionals.
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