Application of A Distributed Nucleus Approximation In Grid Based Minimization of the Kohn-Sham Energy Functional
chem-ph
2009-10-28 v2 Chemical Physics
Abstract
In the distributed nucleus approximation we represent the singular nucleus as smeared over a smallportion of a Cartesian grid. Delocalizing the nucleus allows us to solve the Poisson equation for theoverall electrostatic potential using a linear scaling multigrid algorithm.This work is done in the context of minimizing the Kohn-Sham energy functionaldirectly in real space with a multiscale approach. The efficacy of the approximation is illustrated bylocating the ground state density of simple one electron atoms and moleculesand more complicated multiorbital systems.
Keywords
Cite
@article{arxiv.chem-ph/9504003,
title = {Application of A Distributed Nucleus Approximation In Grid Based Minimization of the Kohn-Sham Energy Functional},
author = {Karthik A. Iyer and Michael P. Merrick and Thomas L. Beck},
journal= {arXiv preprint arXiv:chem-ph/9504003},
year = {2009}
}
Comments
Submitted to JCP (July 1, 1995 Issue), latex, 27pages, 2figures