Evidence map›Paper›PMID 35013335›Full record

ArticleNature communications2022

Cooperation in a fluid swarm of fuel-free micro-swimmers.

Matan Yah Ben Zion, Yaelin Caba, Alvin Modin, Paul M Chaikin

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
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

11 citing papers in PubMed, 25 citations in OpenAlex.

  1. Cooperation in binary mixtures of active colloids.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  3. A geometric condition for robot-swarm cohesion and cluster-flock transition.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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 at 2 institutions in 3 countries.

Matan Yah Ben ZionCenter for Soft Matter Research, Department of Physics, New York University, 726 Broadway Avenue, New York, NY, 10003, USA. matanbz@gmail.com.ORCID http://orcid.org/0000-0002-9876-787X
Yaelin CabaCenter for Soft Matter Research, Department of Physics, New York University, 726 Broadway Avenue, New York, NY, 10003, USA.
Alvin ModinCenter for Soft Matter Research, Department of Physics, New York University, 726 Broadway Avenue, New York, NY, 10003, USA.
Paul M ChaikinCenter for Soft Matter Research, Department of Physics, New York University, 726 Broadway Avenue, New York, NY, 10003, USA.
New York University · USCentre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While motile bacteria display rich dynamics in dense colonies, the phoretic nature of artificial micro-swimmers restricts their activity when crowded. Here we introduce a new class of synthetic micro-swimmers that are driven solely by light. By coupling a light absorbing particle to a fluid droplet we produce a colloidal chimera that transforms optical power into propulsive thermo-capillary action. The swimmers' internal drive allows them to operate for a long duration (days) and remain active when crowded, forming a high density fluid phase. We find that above a critical concentration, swimmers form a long lived crowded state that displays internal dynamics. When passive particles are introduced, the dense swimmer phase can re-arrange to spontaneously corral the passive particles. We derive a geometrical, depletion-like condition for corralling by identifying the role the passive particles play in controlling the effective concentration of the micro-swimmers.

Identifiers

PMID35013335
PMCPMC8748659
OpenAlexW4206564145

What OpenQuestion holds

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LicenceCC BY
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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.