TITLE

Exchange-correlation potentials

AUTHOR(S)
Tozer, David J.; Ingamells, Victoria E.; Handy, Nicholas C.
PUB. DATE
November 1996
SOURCE
Journal of Chemical Physics;11/22/1996, Vol. 105 Issue 20, p9200
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
We describe our implementation of the Zhao, Morrison, and Parr method [Phys. Rev. A 50, 2138 (1994)] for the calculation of molecular exchange-correlation potentials from high-level ab initio densities. The use of conventional Gaussian basis sets demands careful consideration of the value of the Lagrange multiplier associated with the constraint that reproduces the input density. Although formally infinite, we demonstrate that a finite value should be used in finite basis set calculations. The potential has been determined for Ne, HF, N2, H2O, and N2(1.5re), and compared with popular analytic potentials. We have then examined how well the Zhao, Morrison, Parr potential can be represented using a computational neural network. Assuming vxc=vxc(ρ), we incorporate the neural network into a regular Kohn–Sham procedure [Phys. Rev. A 140, 1133 (1965)] with encouraging results. The extension of this method to include density derivatives is briefly outlined. © 1996 American Institute of Physics.
ACCESSION #
7639843

 

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