Evidence map›Paper›PMID 39018413›Full record

ArticleScience advances2024

Individual and collective manipulation of multifunctional bimodal droplets in three dimensions.

Mengmeng Sun, Bonan Sun, Myungjin Park, Shihao Yang, Yingdan Wu, Mingchao Zhang, Wenbin Kang, Jungwon Yoon, Li Zhang, Metin Sitti

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Arrested coalescence in structured liquids.Nature communications · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Soft Microbot Traction on Structured Surfaces.Langmuir : the ACS journal of surfaces and colloids · 2025
    Article
  7. A roadmap for next-generation nanomotors.Nature nanotechnology · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

10 authors.

Mengmeng SunPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.ORCID 0000-0001-5940-9458
Bonan SunDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0002-7852-2920
Myungjin ParkPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.ORCID 0000-0001-9616-1500
Shihao YangDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0002-6343-0169
Yingdan WuPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.ORCID 0000-0002-4263-2888
Mingchao ZhangPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.ORCID 0000-0001-8915-0459
Wenbin KangPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.ORCID 0000-0003-2155-5032
Jungwon YoonSchool of Integrated Technology, Gwangju Institute of Science and Technology, Gwangju, Korea.ORCID 0000-0003-1350-5334
Li ZhangDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0003-1152-8962
Metin SittiPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.ORCID 0000-0001-8249-3854

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spatiotemporally controllable droplet manipulation is vital across numerous applications, particularly in miniature droplet robots known for their exceptional deformability. Despite notable advancements, current droplet control methods are predominantly limited to two-dimensional (2D) deformation and motion of an individual droplet, with minimal exploration of 3D manipulation and collective droplet behaviors. Here, we introduce a bimodal actuation strategy, merging magnetic and optical fields, for remote and programmable 3D guidance of individual ferrofluidic droplets and droplet collectives. The magnetic field induces a magnetic dipole force, prompting the formation of droplet collectives. Simultaneously, the optical field triggers isothermal changes in interfacial tension through Marangoni flows, enhancing buoyancy and facilitating 3D movements of individual and collective droplets. Moreover, these droplets can function autonomously as soft robots, capable of transporting objects. Alternatively, when combined with a hydrogel shell, they assemble into jellyfish-like robots, driven by sunlight. These findings present an efficient strategy for droplet manipulation, broadening the capabilities of droplet-based robotics.

Identifiers

PMID39018413
PMCPMC466956

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.