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What can we learn from the adiabatic connection formalism about local hybrid functionals?
Alexei V Arbuznikov1, Martin Kaupp
1Institut für Anorganische Chemie, Universität Würzburg Am Hubland, D-97074 Würzburg, Germany. arbouznikov@mail.uni-wuerzburg.de
Researchers explored a priori local mixing functions (LMFs) for local hybrid functionals. First-principles methods showed inferior performance for atomization energies and reaction barriers compared to empirical approaches.
Area of Science:
- Quantum Chemistry
- Computational Materials Science
Background:
- Local hybrid functionals offer a promising approach for accurate electronic structure calculations.
- Local mixing functions (LMFs) control the position-dependent exact-exchange admixture in these functionals.
- Current LMFs are often empirically derived, lacking a strong theoretical foundation.
Purpose of the Study:
- To investigate the formal basis of local hybrid functionals using adiabatic connection theory.
- To derive first-principles local mixing functions (LMFs) a priori.
- To assess the performance of these new LMFs in predicting chemical properties.
Main Methods:
- Application of adiabatic connection formalism to derive LMFs.
- Development of AC-LSDA, AC-PW91, and AC-PBE LMFs.
- Testing LMFs in local hybrid functionals for calculating atomization energies and reaction barriers.
Main Results:
- First-principles LMFs derived from adiabatic connection theory (AC-LSDA, AC-PW91, AC-PBE) showed reduced performance.
- Performance was inferior compared to previously used semiempirical LMFs for key chemical properties.
- Limited flexibility of first-principles LMFs and adiabatic connection formalism limitations were identified.
Conclusions:
- While first-principles LMFs derived via adiabatic connection theory show promise, they currently underperform empirical approaches.
- Further development is needed to enhance the flexibility and applicability of a priori LMFs.
- The study provides valuable insights into the physical underpinnings of local hybrid functionals.
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