Abstract
Aqueous electrolytes subjected to angstrom-scale confinement have recently attracted increasing interest because of their distinctive structural and transport properties, as well as their promising applicability in bioinspired nanofluidic iontronics and ion batteries. Here, we performed microsecond-scale molecular dynamics simulations, which provided evidence of nonlinear ionic conductance under an external lateral electric field due to the self-assembly of cations and anions with diverse polyelectrolyte morphologies (e.g., extremely large ion clusters) in aqueous solutions within angstrom-scale slits. Specifically, we found that the cations and anions of Li2SO4 and CaSO4 formed chain-like polyelectrolyte structures, whereas those of Na2SO4 and MgSO4 predominantly formed a monolayer of hydrated salt. Additionally, the cations and anions of K2SO4 assembled into a hexagonal anhydrous ionic crystal. These ion-dependent diverse polyelectrolyte morphologies stemmed from the enhanced Coulomb interactions, weakened hydration and steric constraints within the angstrom-scale slits. More importantly, once the monolayer hydrated salt or ionic crystal structure was formed, the field-induced ion current exhibited an intriguing gating effect at a low field strength. This abnormal ion transport was attributed to the concerted movement of cations and anions within the solid polyelectrolytes, leading to the suppression of ion currents. When the electric field exceeded a critical strength, however, the ion current surged rapidly due to the dissolution of many cations and anions within a few nanoseconds in the aqueous solution. © 2024 The Royal Society of Chemistry.
| Original language | English |
|---|---|
| Pages (from-to) | 8170-8180 |
| Journal | Chemical Science |
| Volume | 15 |
| Issue number | 21 |
| Online published | 3 May 2024 |
| DOIs | |
| Publication status | Published - 7 Jun 2024 |
Funding
W. H. Z. was supported by the Zhejiang Provincial Natural Science Foundation of China (LY23B030006) and the Ningbo Natural Science Foundation (2022J127); W. H. Z. also acknowledges the Supercomputer Center of NBU. X. C. Z. acknowledges support from the Hong Kong Global STEM Professorship Scheme and a GRF grant (11204123) from the Research Grants Council of Hong Kong.
Publisher's Copyright Statement
- This full text is made available under CC-BY 3.0. https://creativecommons.org/licenses/by/3.0/
RGC Funding Information
- RGC-funded
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GRF: Machine-Learning Force Field Based Computer Simulation of Rich Physical Phase Behaviour of Two-Dimensional Water/Ice in Nano-Confinement
ZENG, X. (Principal Investigator / Project Coordinator)
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