journal article·2021-11-02

Reduced Ionic Conductivity but Enhanced Local Ionic Conductivity in Nanochannels

Ke Zhou, Shuping Jiao, Yan Chen, Huasong Qin, Yilun Liu

Langmuir· Volume 37· Issue 43
Publisher page

Abstract

The ionic transport in nanoscale channels with the critical size comparable to ions and solvents shows excellent performance on electrochemical desalination, ion separation, and supercapacitors. However, the key quantity ionic conductivity (σ) in the nanochannel that evaluates how easily the electric current is driven by an external voltage is still unknown because of the challenges in experimental measurement. In this work, we present an atomistic simulation-based study, which shows that how the ion concentration, nanoconfinement, and heterogeneous solvation modify the ionic conductivity in a two-dimensional graphene nanochannel. We find that σ in the confined channel is lower than that in the bulk (σ b ) at the same concentration along with enhanced ion–ion correlation. However, surprisingly, the local σ near the channel wall is more conductive than σ b and is about 2–3 folds of the inner layer due to the highly concentrated charge carriers. Based on the layered feature of σ along the width of the channel, we propose a model that contains two dead (or depletion) layers, two highly conductive layers, and one inner layer to describe the ionic dynamics in the nanochannels. Our findings may open the way to unique nanofluidic functionalities, such as energy harvesting/storage and controlling transport at single-molecule and ion levels using the liquid layer near the wall.
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Research context

OpenAlex topics: Nanopore and Nanochannel Transport Studies · Membrane-based Ion Separation Techniques · Membrane Separation Technologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Laboratory for Multiscale Mechanics and Medical Science, SV LAB, School of Aerospace, Xi’an Jiaotong University, Xi’an 710049, China

Shanghai Key Laboratory of Mechanics in Energy Engineering, Shanghai Institute of Applied Mathematics and Mechanics, School of Mechanics and Engineering Science, Shanghai University, Shanghai 200444, China

Funding

China Postdoctoral Science Foundation · National Natural Science Foundation of China · Open Fund of Key Laboratory for Intelligent Nano Materials and Devices of the Ministry of Education · Technology Innovation Engineering Project of Shandong Province of China

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