2016
DOI: 10.1021/acs.jctc.6b00709
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Range-Separation Parameter in Tuned Exchange–Correlation Functionals: Successive Ionizations and the Fukui Function

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Cited by 11 publications
(12 citation statements)
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References 40 publications
(83 reference statements)
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“…The theory would be necessary in establishing the quantitative values of the various conceptual DFT descriptors. Interest in using Range-Separated (RS) exchange correlation functionals in Kohn–Sham DFT has been on the rise recently [ 50 ]. The functionals tend to partition the r operator and exchange them into long- and short-range parts, whose range separation parameter, , controls the rate of attaining the long-range behavior.…”
Section: Introductionmentioning
confidence: 99%
“…The theory would be necessary in establishing the quantitative values of the various conceptual DFT descriptors. Interest in using Range-Separated (RS) exchange correlation functionals in Kohn–Sham DFT has been on the rise recently [ 50 ]. The functionals tend to partition the r operator and exchange them into long- and short-range parts, whose range separation parameter, , controls the rate of attaining the long-range behavior.…”
Section: Introductionmentioning
confidence: 99%
“…The interest in using range-separated (RS) exchange correlation functionals in KS DFT is on the rise (Gledhill et al, 2016 ). The functionals tend to partition the operator and exchange them into long- and short-range parts, whose range separation parameter ω controls the rate of attaining the long-range behavior.…”
Section: Introductionmentioning
confidence: 99%
“…For example, tuning an RSE functional for successive ionization can have a large effect on the parametrization. 25 Nonetheless, for molecular properties that are sensitive to the DE, any improvements that reduce this error should lead to improved computational predictions. Predictions of spectroscopic properties by minimizing the deviation from linearity in E(N) of actinide systems by parametrization of a functional have not yet been attempted.…”
Section: Introductionmentioning
confidence: 99%