Evidence map›Paper›PMID 36344567›Full record

ArticleNature communications2022

Multi-scale organization in communicating active matter.

Alexander Ziepke, Ivan Maryshev, Igor S Aranson, Erwin Frey

Abstract 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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Cell division sets a universal flow geometry in cell layers.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
  3. Automated decision-making by chemical echolocation in active droplets.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Signalling and social learning in swarms of robots.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025
    Article
  8. Swarm Autonomy: From Agent Functionalization to Machine Intelligence.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
  9. Article
  10. Chemical Logic Gates on Active Colloids.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Review
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.

Alexander ZiepkeArnold Sommerfeld Center for Theoretical Physics and Center for NanoSciences, Ludwig-Maximilians-Universität München, Theresienstraße 37, 80333, Munich, Germany.ORCID 0000-0002-9180-9440
Ivan MaryshevArnold Sommerfeld Center for Theoretical Physics and Center for NanoSciences, Ludwig-Maximilians-Universität München, Theresienstraße 37, 80333, Munich, Germany.
Igor S AransonDepartment of Biomedical Engineering, Pennsylvania State University, University Park, PA, 16802, USA. isa12@psu.edu.ORCID 0000-0002-4062-5393
Erwin FreyArnold Sommerfeld Center for Theoretical Physics and Center for NanoSciences, Ludwig-Maximilians-Universität München, Theresienstraße 37, 80333, Munich, Germany. frey@lmu.de.ORCID 0000-0001-8792-3358

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of collective motion among interacting, self-propelled agents is a central paradigm in non-equilibrium physics. Examples of such active matter range from swimming bacteria and cytoskeletal motility assays to synthetic self-propelled colloids and swarming microrobots. Remarkably, the aggregation capabilities of many of these systems rely on a theme as fundamental as it is ubiquitous in nature: communication. Despite its eminent importance, the role of communication in the collective organization of active systems is not yet fully understood. Here we report on the multi-scale self-organization of interacting self-propelled agents that locally process information transmitted by chemical signals. We show that this communication capacity dramatically expands their ability to form complex structures, allowing them to self-organize through a series of collective dynamical states at multiple hierarchical levels. Our findings provide insights into the role of self-sustained signal processing for self-organization in biological systems and open routes to applications using chemically driven colloids or microrobots.

Indexed as

ColloidsPhysicsMotionColloids

Identifiers

PMID36344567
PMCPMC9640622

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.