Predicting complex multi-species phase structure for ionic conduction in nanopores

Gibby, William A. T. and Barabash, Miraslau L. and Luchinsky, Dmitry G. and McClintock, Peter V. E. and Khovanov, Igor A. (2024) Predicting complex multi-species phase structure for ionic conduction in nanopores. In: 2023 International Conference on Noise and Fluctuations (ICNF) :. IEEE. ISBN 9798350330120

Text (IEEE Final Version WATG) - Accepted Version
Download (0B)

Text (IEEE Final Version WATG)
IEEE_Final_Version_WATG.pdf - Accepted Version
Available under License Creative Commons Attribution.
Download (495kB)

Abstract

Using a statistical linear response theory, we present a complex phase structure describing ionic conduction through a nanopore as a function of pore structure. This picture sheds light on the permeation mechanism, and selectivity between ions of alike and differing charge; and is calculated explicitly from first principles via the statistical properties including particle number fluctuations. We therefore expect the theory to be applicable to the functionalisation and design of highly selective nanopores.