Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 631

The DOI matches its Crossref record.

Self-cleaning of superhydrophobic surfaces by self-propelled jumping condensate

Open access
Wisdom, Katrina M., Watson, Jolanta A., Qu, Xiaopeng, Liu, Fangjie, Watson, Gregory S., Chen, Chuan-Hua·2013·Proceedings of the National Academy of Sciences

Abstract

The self-cleaning function of superhydrophobic surfaces is conventionally attributed to the removal of contaminating particles by impacting or rolling water droplets, which implies the action of external forces such as gravity. Here, we demonstrate a unique self-cleaning mechanism whereby the contaminated superhydrophobic surface is exposed to condensing water vapor, and the contaminants are autonomously removed by the self-propelled jumping motion of the resulting liquid condensate, which partially covers or fully encloses the contaminating particles. The jumping motion off the superhydrophobic surface is powered by the surface energy released upon coalescence of the condensed water phase around the contaminants. The jumping-condensate mechanism is shown to spontaneously clean superhydrophobic cicada wings, where the contaminating particles cannot be removed by gravity, wing vibration, or wind flow. Our findings offer insights for the development of self-cleaning materials.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1073/pnas.1210770110

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cited by

See all 631

Metadata

Authors
Wisdom, K. M., Watson, J. A., Qu, X., Liu, F., Watson, G. S., & Chen, C.-H.
Venue
Proceedings of the National Academy of Sciences
Published
2013-04-29
Volume
110
Issue
20
Pages
7992-7997
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1986235698
Cited by
631
References
0
FWCI
14.46
Type
journal article
Language
en
Open access
green

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: Self-cleaning of superhydrophobic surfaces by self-propelled jumping condensate. https://app.cochat.ai/papers/10.1073/pnas.1210770110
The paper
Wisdom, K. M., Watson, J. A., Qu, X., Liu, F., Watson, G. S., & Chen, C.-H. (2013). Self-cleaning of superhydrophobic surfaces by self-propelled jumping condensate. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1210770110

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.