2011
DOI: 10.1002/jcc.21734
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A self‐consistent Hirshfeld method for the atom in the molecule based on minimization of information loss

Abstract: Based on the so-called Hirshfeld atom in the molecule (AIM) scheme, a new AIM method is presented. The method is similar to the Hirshfeld-I scheme, with the AIM weight function being constructed by minimizing the information loss upon formation of the molecule, but now requiring explicitly that the promolecular densities integrate to the same number of electrons as the AIM densities. This new weight function leads to a new iterative AIM scheme, and the resulting operative scheme is examined and discussed. The … Show more

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Cited by 26 publications
(28 citation statements)
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References 33 publications
(43 reference statements)
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“…The atomic weighing factors for the rst charge cycle are computed using neutral reference atoms (eqn (54) and (55)). The atomic weighing factors for the rst charge cycle are computed using neutral reference atoms (eqn (54) and (55)).…”
Section: Determining the Ddec6 Reference Ion Charge Value (Charge Cycmentioning
confidence: 99%
“…The atomic weighing factors for the rst charge cycle are computed using neutral reference atoms (eqn (54) and (55)). The atomic weighing factors for the rst charge cycle are computed using neutral reference atoms (eqn (54) and (55)).…”
Section: Determining the Ddec6 Reference Ion Charge Value (Charge Cycmentioning
confidence: 99%
“…Indeed, Hirshfeld charges might considerably depend on the used scheme (quality of the chosen free atomic densities, using or not iterative schemes [77] ). Actually, the charges provided by the two pro- …”
Section: Full Paper Wwwc-chemorgmentioning
confidence: 99%
“…(4) is the same partitioning that Hirshfeld had proposed more than two decades earlier, on purely heuristic grounds. 11 Since then, many researchers have elaborated upon this basic approach, either by generalizing (and even optimizing) the choice of pro-atomic densities [12][13][14][15][16][17][18][19] or by using alternative measures of the deviation between densities. 12,[20][21][22] Remarkably, the Hirshfeld partitioning formula, Eq.…”
Section: Introductionmentioning
confidence: 99%