Evidence map›Paper›PMID 41577715›Full record

ArticleNature communications2026

Self-oscillating synchronematic colloids.

Sergi G Leyva, Zhengyan Zhang, Monica Olvera de la Cruz, Kyle J M Bishop

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sergi G LeyvaCenter for Computation and Theory of Soft Materials, Northwestern University, Evanston, IL, USA.ORCID http://orcid.org/0000-0001-9176-9285
Zhengyan ZhangDepartment of Chemical Engineering, Columbia University, New York, NY, USA.
Monica Olvera de la CruzCenter for Computation and Theory of Soft Materials, Northwestern University, Evanston, IL, USA. m-olvera@northwestern.edu.ORCID http://orcid.org/0000-0002-9802-3627
Kyle J M BishopDepartment of Chemical Engineering, Columbia University, New York, NY, USA. kyle.bishop@columbia.edu.ORCID http://orcid.org/0000-0002-7467-3668

Funding

U.S. Department of Energy (DOE) DE-FG02-08ER46539U.S. Department of Energy (DOE) DE-SC0000989
6 · The paper itself

Abstract

Self-oscillators that sustain periodic dynamics under constant input are ubiquitous in natural and engineered systems, where their interactions enable spatiotemporal coordination among many individual units. New forms of organization can emerge when these self-oscillating units are free to move and rotate, linking their spatial arrangement and orientation with their oscillation frequencies and phases. Here, we report experiments and simulations on populations of Quincke colloids that behave as self-oscillating units characterized by position, orientation, frequency, and phase. Hydrodynamic interactions among these colloids drive temporal synchronization and spatial alignment of their phases and orientations, giving rise to a new form of collective order that we term synchronematic. Within finite-size crystalline clusters, these non-reciprocal interactions promote global synchronization and circular alignment, with a collective frequency that increases with cluster size. Using the theory of weakly coupled oscillators, we derive a reduced-order model that captures the coupled evolution of phase and orientation and explains how synchronematic order depends sensitively on the particle configuration. Our results establish Quincke colloids as a model system for active oscillatory matter and reveal fundamental principles by which synchronization, alignment, and structure co-emerge-offering a framework for designing adaptive, frequency-tunable materials.

Identifiers

PMID41577715
PMCPMC12920913

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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.