ELECTRON CORRELATION

We have now considered the improvement of ab initio calculations by extensions of the basis set. Improvement here, of course, is defined in the spirit of the variation principle; that energy is best that is lowest.

However, the semi-empirical and ab initio calculations we have discussed to this point are self-consistent field (SCF) calculations.

The gap between the "real" energy and the SCF limit is the correlation energy, so named to reflect its origin in the correlated movement of electrons seeking to remain as far from each other as possible. The final step we can take in improving MO calculations is to recover some of this correlation energy. Two general approaches, of several that exist, will be described here: configuration interaction and Moeller-Plesset perturbation theory.

Configuration Interaction

Suppose we wish to treat electron correlation in a lithium atom, which has the ground state configuration 1s2, 2s1.

Configuration interaction calculations are possible within SPARTAN's semi-empirical module, by the use of keywords entered in the OPTIONS dialog box. SPARTAN '04 also offers this option directly from the calculation setup module.

Moeller-Plesset Perturbation Theory

In Moeller-Plesset theory, the mixing in of excited states is treated as a perturbation:

If the original wavefunction is an RHF type, we label the calculation as MP2, MP3, and so on depending upon where the series is truncated. For a UHF wavefunction, we refer to UMP2, UMP3, and so on.

Computationally, MP correlation is less laborious than CI, and thus has displaced the CI type in many ab initio calculations, where the computational labor is already high.

References

1. Hehre, W. J.; Radom, L.; Schleyer, P. v.R.; Pople, J. A. Ab Initio Molecular Orbital Theory, John Wiley and Sons, New York, 1986.

2. Hinchcliffe, A. Computational Quantum Chemistry, John Wiley and Sons, Chichester, 1988.

3. Salem, L.; Rowland, C. Angew. Chem. Int. Ed. Engl., 1972, 11, 92.

4. Moeller, C.; Plesset, M. S. Phys. Rev., 1934, 46, 618.

Cramer, C. J., Essentials of Computational Chemistry, Wiley, 2003; Chapter 7.


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