2013
DOI: 10.1021/ct400836s
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Laplacian-Level Kinetic Energy Approximations Based on the Fourth-Order Gradient Expansion: Global Assessment and Application to the Subsystem Formulation of Density Functional Theory

Abstract: We tested Laplacian-level meta-generalized gradient approximation (meta-GGA) noninteracting kinetic energy functionals based on the fourth-order gradient expansion (GE4). We considered several well-known Laplacian-level meta-GGAs from the literature (bare GE4, modified GE4, and the MGGA functional of Perdew and Constantin (Phys. Rev. B 2007,75, 155109)), as well as two newly designed Laplacian-level kinetic energy functionals (L0.4 and L0.6). First, a general assessment of the different functionals is performe… Show more

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Cited by 77 publications
(108 citation statements)
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References 131 publications
(294 reference statements)
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“…[113] Another important quantity to describe the density behavior is the Laplacian of the density r 2 qðrÞ. This quantity appears in the fourthorder gradient expansions (GE4) of both the exchange [107] and kinetic [114][115][116] energies via the dimensionless reduced Laplacian…”
Section: Input Ingredients Of Meta-gga Functionals 211 | Inhomogementioning
confidence: 99%
See 1 more Smart Citation
“…[113] Another important quantity to describe the density behavior is the Laplacian of the density r 2 qðrÞ. This quantity appears in the fourthorder gradient expansions (GE4) of both the exchange [107] and kinetic [114][115][116] energies via the dimensionless reduced Laplacian…”
Section: Input Ingredients Of Meta-gga Functionals 211 | Inhomogementioning
confidence: 99%
“…Another important quantity to describe the density behavior is the Laplacian of the density r 2 qðrÞ. This quantity appears in the fourthorder gradient expansions (GE4) of both the exchange [107] and kinetic [114][115][116] energies via the dimensionless reduced LaplacianThe reduced Laplacian, which is by construction invariant under the uniform density scaling (see Appendix B), is therefore a natural meta-GGA input ingredient. It contains more information than the reduced gradients, being able to distinguish the nuclear region (q !…”
mentioning
confidence: 99%
“…Similar shortcomings as for the XE density near the nucleus affect also many KE functionals at the GGA level [51][52][53][54][55] or at the Laplacian level [56]; for a recent review of semilocal functionals, see [57]. The KE density is usually defined in terms of the KE enhancement factor:…”
Section: Introductionmentioning
confidence: 99%
“…This is due to its promise of achieving potentially exact results at a reduced computational cost, as well as to the high insight into the nature of interacting systems provided by the associated embedding potentials. Thus, numerous applications related to non-covalent [9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27] as well as covalent bonded systems [28][29][30][31] have been considered. In addition, the frozen density embedding (FDE) method [3,32,33] has emerged as a practical tool for efficient simulations of different properties [18,[33][34][35][36][37][38].…”
Section: Introductionmentioning
confidence: 99%