2013
DOI: 10.1002/jcc.23446
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Highly asymmetric electrolytes in the primitive model: Hypernetted chain solution in arbitrary spatial dimensions

Abstract: The pair-correlation functions for fluid ionic mixtures in arbitrary spatial dimensions are computed in hypernetted chain (HNC) approximation. In the primitive model (PM), all ions are approximated as nonoverlapping hyperspheres with Coulomb interactions. Our spectral HNC solver is based on a Fourier-Bessel transform introduced by Talman (J. Comput. Phys. 1978, 29, 35), with logarithmically spaced computational grids. Numeric efficiency for arbitrary spatial dimensions is a commonly exploited virtue of this tr… Show more

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Cited by 32 publications
(38 citation statements)
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“…This gap can be essentially filled in by numerical liquid integral equation solutions as reported in the present article and in Ref. [11]. Figure 2.…”
Section: Liquid Integral Equationssupporting
confidence: 67%
See 2 more Smart Citations
“…This gap can be essentially filled in by numerical liquid integral equation solutions as reported in the present article and in Ref. [11]. Figure 2.…”
Section: Liquid Integral Equationssupporting
confidence: 67%
“…In the present work, we employ a numerical method that we have comprehensively outlined in Ref. [11]. This method, based on techniques that were originally published in Refs.…”
Section: Liquid Integral Equationsmentioning
confidence: 99%
See 1 more Smart Citation
“…The presented DDFT equations, as well as the PercusYevick equation, can be numerically efficiently solved for any physically relevant kind of isotropic, pairwise additive particle interactions, and for arbitrary spatial dimension d [26]. However, for simplicity we restrict ourselves here to the generic case of nonoverlapping hard disks in d = 2 dimensions, with pair potential…”
Section: By Fourier Transformation One Obtainsmentioning
confidence: 99%
“…In the present work, we therefore rely on the accurate and efficient numerical solution method that we have published in Ref. [26].…”
Section: By Fourier Transformation One Obtainsmentioning
confidence: 99%