Evidence map›Paper›PMID 40275091›Full record

ArticleNature computational science2025

Active twisting for adaptive droplet collection.

Yifan Yang, Zhijun Dai, Yuzhen Chen, Fan Xu

Abstract read
In one paragraph

Article in Nature computational science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Active twisting for adaptive droplet collection.Nature computational science · 2025
    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

4 authors.

Yifan Yang *Institute of Mechanics and Computational Engineering, Department of Aeronautics and Astronautics & College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai, People's Republic of China.
Zhijun Dai *Institute of Mechanics and Computational Engineering, Department of Aeronautics and Astronautics & College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai, People's Republic of China.
Yuzhen Chen *Institute of Mechanics and Computational Engineering, Department of Aeronautics and Astronautics & College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai, People's Republic of China.
Fan XuInstitute of Mechanics and Computational Engineering, Department of Aeronautics and Astronautics & College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai, People's Republic of China. fanxu@fudan.edu.cn.ORCID http://orcid.org/0000-0003-3910-5398

Funding

China Postdoctoral Science Foundation 2024M750510National Natural Science Foundation of China (National Science Foundation of China) 12122204National Natural Science Foundation of China (National Science Foundation of China) 12372096National Natural Science Foundation of China (National Science Foundation of China) 12425204Shanghai Municipal Education Commission 24KXZNA14
6 · The paper itself

Abstract

Many xeric plant leaves exhibit bending and twisting morphology, which may contribute to their important biological and physical functions adapted to drought and desert conditions. Revealing the relationships between various morphologies and functionalities can inspire device designs for meeting increasingly stringent environmental requirements. Here, demonstrated on the biomimetic bilayer ribbons made of liquid crystal elastomers, we reveal that the stimulus-induced morphological evolution of bending, spiraling, twisting and various coupling states among them can be selectively achieved and precisely tuned by designing the director orientations in liquid crystal elastomer bilayers. The mathematical models and analytical solutions are developed to quantify the morphology selection and phase transition of these liquid crystal elastomer ribbons for material design, as confirmed by experiments. Moreover, we show that, under activation and control of external stimuli, the twisting configuration can be harnessed to effectively collect and guide the transportation of droplets, and enhance the structural stiffness for resisting wind blow and rainfall to achieve the optimal configuration for water collection. Our results reveal the interesting functions correlated with bending, spiraling and twisting morphologies widely present in the natural world, by providing fundamental insights into their shape transformation and controlling factors. This work also demonstrates a potential application with integrating morphogenesis-environment interactions into devices or equipments.

Identifiers

PMID40275091
PMCPMC12021652

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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.