2011
DOI: 10.1039/c1cp21646e
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The unconstrained local hardness: an intriguing quantity, beset by problems

Abstract: Developing a mathematical approach to the local hard/soft acid/base principle requires an unambiguous definition for the local hardness. One such quantity, which has aroused significant interest in recent years, is the unconstrained local hardness. Key identities are derived for the unconstrained local hardness, δμ/δρ(r). Several identities are presented which allow one to determine the unconstrained local hardness either explicitly using the hardness kernel and the inverse-linear response function, or implici… Show more

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Cited by 23 publications
(17 citation statements)
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References 103 publications
(203 reference statements)
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“…10, the PAC coupling matrix can be written as SAB=2EϕAϕB=qAϕB, which is closely related to the concept of local softness. 7780 Due to the difference between the linear-response kernel and the local softness (see, for example, Eq. 21 in Reference 80 ), we will call S AB the pseudo-softness supermatrix.…”
Section: Theorymentioning
confidence: 99%
See 1 more Smart Citation
“…10, the PAC coupling matrix can be written as SAB=2EϕAϕB=qAϕB, which is closely related to the concept of local softness. 7780 Due to the difference between the linear-response kernel and the local softness (see, for example, Eq. 21 in Reference 80 ), we will call S AB the pseudo-softness supermatrix.…”
Section: Theorymentioning
confidence: 99%
“…7780 Due to the difference between the linear-response kernel and the local softness (see, for example, Eq. 21 in Reference 80 ), we will call S AB the pseudo-softness supermatrix.…”
Section: Theorymentioning
confidence: 99%
“…Attempts have been made to dene a local variant of hardness under certain conditions. [60][61][62] Because of the inter-dependence of v(r) and r(r) within the premise of DFT, ambiguities arise [63][64][65] for the simultaneous denition of local hardness and local soness when local hardness is described as follows: 66,67 hðrÞ ¼ dm drðrÞ vðrÞ (23) h(r) could be evaluated from the hardness kernel h(r,r 0 ) also in the following way:…”
Section: Local Reactivity Descriptorsmentioning
confidence: 99%
“…Currently, we evaluate the matrix exponential on the integration grid by diagonalizing a matrix with the dimension of the grid. The computational cost can be reduced by expanding the DCF in a basis set [100] and using a more efficient six-dimensional integration grid, [101,102] but this method will remain more expensive than conventional approximate exchange-correlation functionals. The second difficulty is that it can be very difficult to find a satisfactory parameterization for the DCF.…”
Section: Perspectivementioning
confidence: 99%