Evidence map›Paper›PMID 37666839›Full record

ArticleNature communications2023

Suppression of hollow droplet rebound on super-repellent surfaces.

Ying Zhou, Chenguang Zhang, Wenchang Zhao, Shiyu Wang, Pingan Zhu

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. The limit of droplet rebound angle.Nature communications · 2025
    Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ying Zhou *Department of Mechanical Engineering, City University of Hong Kong, 999077, Hong Kong, China.ORCID http://orcid.org/0000-0002-3490-5882
Chenguang Zhang *Ansys Inc., 10 Cavendish Ct, Lebanon, NH, 03766, USA.
Wenchang ZhaoDepartment of Mechanical Engineering, City University of Hong Kong, 999077, Hong Kong, China.
Shiyu WangDepartment of Mechanical Engineering, City University of Hong Kong, 999077, Hong Kong, China.ORCID http://orcid.org/0000-0002-8062-5590
Pingan ZhuDepartment of Mechanical Engineering, City University of Hong Kong, 999077, Hong Kong, China. pingazhu@cityu.edu.hk.ORCID http://orcid.org/0000-0001-5847-1831

Funding

City University of Hong Kong (CityU) 7005936City University of Hong Kong (CityU) 9610502Research Grants Council, University Grants Committee (RGC, UGC) ECS 21213621Shenzhen Science and Technology Innovation Commission JCYJ20220530140812028
6 · The paper itself

Abstract

Droplet rebound is ubiquitous on super-repellent surfaces. Conversion between kinetic and surface energies suggests that rebound suppression is unachievable due to negligible energy dissipation. Here, we present an effective approach to suppressing rebounds by incorporating bubbles into droplets, even in super-repellent states. This suppression arises from the counteractive capillary effects within bubble-encapsulated hollow droplets. The capillary flows induced by the deformed inner-bubble surface counterbalance those driven by the outer-droplet surface, resulting in a reduction of the effective take-off momentum. We propose a double-spring system with reduced effective elasticity for hollow droplets, wherein the competing springs offer distinct behavior from the classical single-spring model employed for single-phase droplets. Through experimental, analytical, and numerical validations, we establish a comprehensive and unified understanding of droplet rebound, by which the behavior of single-phase droplets represents the exceptional case of zero bubble volume and can be encompassed within this overarching framework.

Identifiers

PMID37666839
PMCPMC10477213

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.