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Coverage of dynamic correlation effects by density functional theory functionals: density-based analysis for neon.

K Jankowski1, K Nowakowski, I Grabowski

  • 1Faculty of Physics, Astronomy, and Informatics, Nicolaus Copernicus University, 87-100 Torun, Poland. karoljan@fizyka.umk.pl

The Journal of Chemical Physics
|May 2, 2009
PubMed
Summary
This summary is machine-generated.

Dynamic electron correlation effects in quantum chemistry are better understood using density-based criteria. This study analyzes these effects for Ne atom, revealing insights for developing new exchange-correlation functionals.

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Area of Science:

  • Quantum Chemistry
  • Computational Chemistry
  • Theoretical Chemistry

Background:

  • Linking dynamic electron correlation in wave function theories (WFTs) with density functional theory (DFT) functionals is challenging.
  • Nondynamic correlation effects are negligible for the Ne atom, simplifying analysis.

Purpose of the Study:

  • Analyze dynamic electron correlation effects on electron density.
  • Compare ab initio and DFT methods for calculating these effects.
  • Inform the development of new DFT exchange-correlation functionals.

Main Methods:

  • Employed a density-based approach using difference radial-density (DRD) distributions.
  • Calculated DRD distributions for the Ne atom.
  • Compared ab initio results with various DFT functionals, including OEP2.
  • Addressed basis-set incompleteness errors.

Main Results:

  • Dynamic correlation effects are largely captured by exchange-only DFT calculations for local, GGAs, and hybrid functionals.
  • VWN5 and LYP correlation functionals show minimal dynamic correlation effects on density.
  • Orbital-dependent OEP2 correlation functional accurately represents dynamic correlation effects.
  • Self-interaction corrected calculations confirm findings are not artifacts.

Conclusions:

  • Density-based criteria are valuable for developing improved DFT exchange-correlation functionals.
  • Differences between energy- and density-based perspectives highlight the utility of density-based approaches.