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Cited by 386

The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.

Ion/Molecule Transportation in Nanopores and Nanochannels: From Critical Principles to Diverse Functions

Zhu, Zhongpeng, Wang, Dianyu, Tian, Ye, Jiang, Lei·2019·Journal of the American Chemical Society

Abstract

Nanopores and nanochannels are ubiquitous, from biological systems to various artificial materials. Taking advantage of size confinement and tailoring the interior components, numerous functions can be achieved such as selectivity, gating, rectification, and so on, which result from diverse interactions between ion/molecule and nanopore/nanochannel. In this Perspective, on account of the summarized critical principles, namely size/shape, wettability, charge, recognition, and other interactions during ion/molecule transportation in nanopores and nanochannels, we introduce four main sections of applications: selective transportation in separation, controllable gating systems, energy conversion devices, and sensors. In addition, some typical challenges and possible future research endeavors in the related fields will also be discussed.

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Crossref · 10.1021/jacs.9b00086

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Metadata

Authors
Zhu, Z., Wang, D., Tian, Y., & Jiang, L.
Venue
Journal of the American Chemical Society
Published
2019-05-07
Volume
141
Issue
22
Pages
8658-8669
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W2944762467
Cited by
386
References
89
FWCI
15.92
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Ion/Molecule Transportation in Nanopores and Nanochannels: From Critical Principles to Diverse Functions. https://app.cochat.ai/papers/10.1021/jacs.9b00086
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Zhu, Z., Wang, D., Tian, Y., & Jiang, L. (2019). Ion/Molecule Transportation in Nanopores and Nanochannels: From Critical Principles to Diverse Functions. Journal of the American Chemical Society. https://doi.org/10.1021/jacs.9b00086

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.