The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Immersed superhydrophobic surfaces: Gas exchange, slip and drag reduction properties
Open accessAbstract
Superhydrophobic surfaces combine high aspect ratio micro- or nano-topography and hydrophobic surface chemistry to create super water-repellent surfaces. Most studies consider their effect on droplets, which ball-up and roll-off. However, their properties are not restricted to modification of the behaviour of droplets, but potentially influence any process occurring at the solid-liquid interface. Here, we highlight three recent developments focused on the theme of immersed superhydrophobic surfaces. The first illustrates the ability of a superhydrophobic surface to act as a gas exchange membrane, the second demonstrates a reduction in drag during flow through small tubes and the third considers a macroscopic experiment demonstrating an increase in the terminal velocity of settling spheres.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Wettability of porous surfaces
Cassie, A. B. D., & Baxter, S. (1944) · Transactions of the Faraday Society · doi:10.1039/tf9444000546 · Cited by 13,807
Cited by
Bioinspired Surfaces with Superwettability: New Insight on Theory, Design, and Applications
Wang, S., Liu, K., Yao, X., & Jiang, L. (2015) · Chemical Reviews · doi:10.1021/cr400083y · Cited by 1,646
Recent advances in the potential applications of bioinspired superhydrophobic materials
Darmanin, T., & Guittard, F. (2014) · J. Mater. Chem. A · doi:10.1039/c4ta02071e · Cited by 555
Metadata
- Authors
- McHale, G., Newton, M. I., & Shirtcliffe, N. J.
- Venue
- Soft Matter
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2010
- Volume
- 6
- Issue
- 4
- Pages
- 714-719
- ISSN
- 1744-683X (ISSN-L)
- 1744-6848
- OpenAlex
- W2142186764
- Cited by
- 279
- References
- 1
- FWCI
- 6.48
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Immersed superhydrophobic surfaces: Gas exchange, slip and drag reduction properties. https://app.cochat.ai/papers/10.1039/b917861a
- The paper
- McHale, G., Newton, M. I., & Shirtcliffe, N. J. (2010). Immersed superhydrophobic surfaces: Gas exchange, slip and drag reduction properties. Soft Matter. https://doi.org/10.1039/b917861a
Data sources
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.