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Cited by 254

The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.

Barriers to Superfast Water Transport in Carbon Nanotube Membranes

Walther, Jens H., Ritos, Konstantinos, Cruz-Chu, Eduardo R., Megaridis, Constantine M., Koumoutsakos, Petros·2013·Nano Letters

Abstract

Carbon nanotube (CNT) membranes hold the promise of extraordinary fast water transport for applications such as energy efficient filtration and molecular level drug delivery. However, experiments and computations have reported flow rate enhancements over continuum hydrodynamics that contradict each other by orders of magnitude. We perform large scale molecular dynamics simulations emulating for the first time the micrometer thick CNTs membranes used in experiments. We find transport enhancement rates that are length dependent due to entrance and exit losses but asymptote to 2 orders of magnitude over the continuum predictions. These rates are far below those reported experimentally. The results suggest that the reported superfast water transport rates cannot be attributed to interactions of water with pristine CNTs alone.

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Metadata

Authors
Walther, J. H., Ritos, K., Cruz-Chu, E. R., Megaridis, C. M., & Koumoutsakos, P.
Venue
Nano Letters
Published
2013-04-12
Volume
13
Issue
5
Pages
1910-1914
ISSN
  • 1530-6984 (ISSN-L)
  • 1530-6992
OpenAlex
W1999590777
Cited by
254
References
29
FWCI
12.58
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Barriers to Superfast Water Transport in Carbon Nanotube Membranes. https://app.cochat.ai/papers/10.1021/nl304000k
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Walther, J. H., Ritos, K., Cruz-Chu, E. R., Megaridis, C. M., & Koumoutsakos, P. (2013). Barriers to Superfast Water Transport in Carbon Nanotube Membranes. Nano Letters. https://doi.org/10.1021/nl304000k

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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.