This title appears in the Scientific Report :
2020
Critical assessment of methods for calculating effective interactions and pressure in charge-stabilized suspensions
Critical assessment of methods for calculating effective interactions and pressure in charge-stabilized suspensions
Charge-stabilized suspensions have interesting static features, reflected in properties such as the suspension osmotic pressure and ionic microstructure. These properties are determined by electro-steric interactions between all ionic species. Due to the large size asymmetry between colloidal macroi...
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Personal Name(s): | Brito, Mariano (Corresponding author) |
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Contributing Institute: |
Biomakromolekulare Systeme und Prozesse; IBI-4 |
Imprint: |
2018
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Conference: | Gordon Research Conference on Colloidal, Macromolecular and Polyelectrolyte Solutions, Ventura, CA (USA), 2018-02-04 - 2018-02-09 |
Document Type: |
Poster |
Research Program: |
Functional Macromolecules and Complexes |
Publikationsportal JuSER |
Charge-stabilized suspensions have interesting static features, reflected in properties such as the suspension osmotic pressure and ionic microstructure. These properties are determined by electro-steric interactions between all ionic species. Due to the large size asymmetry between colloidal macroions and small microions, the degrees of freedom of the latter can be integrated out, resulting in an effective one-component interaction potential describing microion-dressed colloidal quasi-particles. We present a comparison, and partial extension, of various methods of calculating effective colloidal interaction parameters including effective charges and screening constants as functions of concentration and ionic strength [1]. We discuss osmotic suspension pressure calculations for dispersions in Donnan equilibrium with a salt ion reservoir. Methods are discussed including cell-models, renormalized jellium models, and multi-colloid-centered mean-field models. The pros and cons of the various methods are assessed by comparison with primitive model based computer simulations.References[1] M. Brito, J. Riest, A. Denton and G. Nägele, to be submitted (2017). |