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Perspective: Coulomb fluids—Weak coupling, strong coupling, in between and beyond

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Naji, Ali, Kanduč, Matej, Forsman, Jan, Podgornik, Rudolf·2013·The Journal of Chemical Physics

Abstract

We present a personal view on the current state of statistical mechanics of Coulomb fluids with special emphasis on the interactions between macromolecular surfaces, concentrating on the weak and the strong coupling limits. Both are introduced for a (primitive) counterion-only system in the presence of macroscopic, uniformly charged boundaries, where they can be derived systematically. Later we show how this formalism can be generalized to the cases with additional characteristic length scales that introduce new coupling parameters into the problem. These cases most notably include asymmetric ionic mixtures with mono- and multivalent ions that couple differently to charged surfaces, ions with internal charge (multipolar) structure and finite static polarizability, where weak and strong coupling limits can be constructed by analogy with the counterion-only case and lead to important new insights into their properties that cannot be derived by any other means.

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Metadata

Authors
Naji, A., Kanduč, M., Forsman, J., & Podgornik, R.
Venue
The Journal of Chemical Physics
Published
2013-10-14
Volume
139
Issue
15
Pages
150901-150901
ISSN
  • 0021-9606 (ISSN-L)
  • 1089-7690
OpenAlex
W1973661249
Cited by
175
References
0
FWCI
12.93
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Perspective: Coulomb fluids—Weak coupling, strong coupling, in between and beyond. https://app.cochat.ai/papers/10.1063/1.4824681
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Naji, A., Kanduč, M., Forsman, J., & Podgornik, R. (2013). Perspective: Coulomb fluids—Weak coupling, strong coupling, in between and beyond. The Journal of Chemical Physics. https://doi.org/10.1063/1.4824681

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.