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Measurements of Long-range Electronic Correlations During Femtosecond Diffraction Experiments Performed on Nanocrystals of Buckminsterfullerene
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A density functional for strong correlation in atoms.

Erin R Johnson1

  • 1Chemistry and Chemical Biology, University of California, Merced 5200 North Lake Road, Merced, California 95343, USA. ejohnson29@ucmerced.edu

The Journal of Chemical Physics
|August 24, 2013
PubMed
Summary
This summary is machine-generated.

A new strong-correlation model improves atomic energy calculations without empirical parameters. This method offers high accuracy for elements across the periodic table, advancing computational chemistry.

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Area of Science:

  • Quantum Chemistry
  • Computational Physics

Background:

  • Accurate calculation of electron correlation is crucial for predicting molecular properties.
  • Conventional density-functional theory (DFT) methods often struggle with strongly correlated systems.
  • The Becke-Roussel exchange and dynamical correlation functionals provide a basis for improved approximations.

Purpose of the Study:

  • To develop a novel, parameter-free strong-correlation model.
  • To enhance the accuracy of DFT calculations for atomic relative energies.
  • To assess the model's performance for atoms and small molecules.

Main Methods:

  • Development of a strong-correlation model integrated with Becke-Roussel functionals.
  • The model is designed to be exact for the hydrogen atom.
  • Application to calculate relative energies of spin-polarized and spin-averaged atoms.

Main Results:

  • The model achieves a mean absolute error of 4 kcal/mol for atomic relative energies.
  • Significant improvement over conventional functionals for atoms in the first three rows of the periodic table.
  • The dissociation curve for the H2 molecule was evaluated.

Conclusions:

  • The developed strong-correlation model offers a significant advancement in computational chemistry accuracy.
  • It provides a robust, parameter-free approach for electronic structure calculations.
  • The model shows promise for broader applications in molecular modeling and materials science.