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Empirical correlation methods for temporary anions.

Thomas Sommerfeld1, Rebecca J Weber

  • 1Department of Chemistry and Physics, Southeastern Louisiana University, SLU 10878, Hammond, Louisiana 70402, United States. Thomas.Sommerfeld@selu.edu

The Journal of Physical Chemistry. A
|May 20, 2011
PubMed
Summary
This summary is machine-generated.

Predicting temporary anion energies is improved by using more accurate electronic structure methods. This enhanced approach expands the applicability of empirical correlation schemes beyond specific molecule families.

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Area of Science:

  • Theoretical Chemistry
  • Computational Chemistry
  • Quantum Chemistry

Background:

  • Temporary anions are short-lived radical anions decaying via electron autodetachment.
  • Accurate prediction of their energies is crucial but computationally expensive with ab initio methods.
  • Existing empirical correlation methods have limitations in scope and applicability.

Purpose of the Study:

  • To improve the accuracy and applicability of empirical correlation methods for predicting temporary anion energies.
  • To investigate the role of electron correlation effects in empirical parameterization.
  • To test the hypothesis that more accurate electronic structure calculations enhance predictive power.

Main Methods:

  • Utilized the Hazi-Taylor stabilization method for theoretical justification.
  • Compared empirical correlation schemes based on Hartree-Fock, Kohn-Sham, and equation-of-motion coupled-cluster (EOM-CC) methods.
  • Employed a heterogeneous reference set of temporary anion states.

Main Results:

  • Using more reliable energies for the confined electron significantly enhanced the predictive power of empirical schemes.
  • Established useful correlations beyond closely related molecular families.
  • Identified certain σ* states as remaining problematic, with reasons analyzed.

Conclusions:

  • Improved electronic structure methods enhance empirical correlation schemes for temporary anions.
  • The refined approach broadens the scope of applicability for these predictive methods.
  • Preliminary results indicate potential for predicting bound anion energies cost-effectively.