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Continuum transport laws for locally non-neutral concentrated electrolytes

Authors: Charles Delacourt; Charles W. Monroe;

Continuum transport laws for locally non-neutral concentrated electrolytes

Abstract

Abstract Flux-explicit transport laws based on Newman's concentrated-solution theory are developed for application to phases with domains of imbalanced charge. General procedures are provided to create flux laws and a current–voltage relation that describe diffusion and migration in isothermal, isobaric, non-neutral multicomponent electrolytes. To retain thermodynamic consistency within the non-neutral concentrated-solution theory, driving forces for diffusion are based on the chemical potentials of neutral combinations of species, and an excess current density is used as a driving force for migration. Procedures are developed for identifying the solution conductivity and Hittorf transference numbers in non-neutral electrolytes comprising three or more species. Flux laws for non-neutral binary electrolytic solutions involving the thermodynamic diffusion coefficient, cation transference number, and ionic conductivity are presented. When local electroneutrality is assumed, the new transport equations reduce to the familiar flux laws for binary electrolytes.

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    popularity
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    Top 10%
    influence
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
25
Top 10%
Top 10%
Average