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A cumulant functional for static and dynamic correlation.

Joshua W Hollett1, Hessam Hosseini1, Cameron Menzies1

  • 1Department of Chemistry, University of Winnipeg, Winnipeg, Manitoba R3B 2G3, Canada.

The Journal of Chemical Physics
|September 3, 2016
PubMed
Summary
This summary is machine-generated.

A new cumulant energy functional accurately models bond dissociation in molecules like H2 and N2. It shows promise for quantum chemistry, though dynamic correlation needs refinement for certain molecules.

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Area of Science:

  • Quantum Chemistry
  • Computational Chemistry
  • Theoretical Chemistry

Background:

  • Accurate modeling of electron correlation is crucial for predicting molecular properties.
  • Existing density functionals face challenges in describing bond dissociation accurately.
  • Cumulant functionals offer a potential pathway to improve correlation energy calculations.

Purpose of the Study:

  • Introduce a novel functional for the cumulant energy.
  • Develop a functional incorporating pair-correction, static, and dynamic correlation.
  • Evaluate the functional's performance in modeling bond dissociation.

Main Methods:

  • The functional utilizes natural orbitals and transferred occupancies for pair and static correlation.
  • Dynamic correlation is based on the statically correlated on-top two-electron density.
  • The Colle-Salvetti functional is employed for the on-top density functional.
  • Calculations were performed using the cc-pVTZ basis set.

Main Results:

  • The functional accurately models bond dissociation for H2, LiH, and N2.
  • Obtained equilibrium bond lengths and dissociation energies are comparable to multireference perturbation theory.
  • Performance is less accurate for HF and F2 due to underestimation of dynamic correlation.

Conclusions:

  • The introduced cumulant functional shows significant potential for describing bond dissociation.
  • Improvements in modeling dynamic correlation are needed for broader applicability.
  • This work provides a foundation for developing more robust correlation functionals.