Evidence map›Paper›PMID 42497262›Full record

ArticleScience advances2026

Collective climbing of colloidal swarms on the vertical wall.

Shihao Yang, Mengmeng Sun, Salomon Horna-Shirola, Dongfang Zhao, Xiang Ji, Luis R Perez-Marcos, Ubaldo M Cordova Figueroa, Chaoyu Yang, Igor S Aranson, Li Zhang

Abstract read
In one paragraph

Article in Science advances, 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

10 authors.

Shihao YangDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0002-6343-0169
Mengmeng SunDepartment of Biomedical Engineering, National University of Singapore, Singapore 117583, Singapore.ORCID 0000-0001-5940-9458
Salomon Horna-ShirolaDepartment of Chemical Engineering, University of Puerto Rico, Mayagüez, Puerto Rico 00680, USA.
Dongfang ZhaoDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0009-0007-6604-3846
Xiang JiDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0003-2621-996X
Luis R Perez-MarcosDepartment of Chemical Engineering, University of Puerto Rico, Mayagüez, Puerto Rico 00680, USA.ORCID 0009-0006-2791-3338
Ubaldo M Cordova FigueroaDepartment of Chemical Engineering, University of Puerto Rico, Mayagüez, Puerto Rico 00680, USA.ORCID 0000-0003-4891-5325
Chaoyu YangDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0002-4958-0160
Igor S AransonDepartment of Biomedical Engineering, Pennsylvania State University, University Park, PA 16802, USA.ORCID 0000-0002-4062-5393
Li ZhangDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0003-1152-8962

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Self-assembled colloidal swarms capable of climbing vertical walls, navigating complex geometries, and operating in confined spaces hold immense promise for emerging biomedical applications. However, harnessing this potential remains challenging as the fundamental mechanisms governing collective behaviors on vertical planes are not yet fully understood. Here, we report the self-assembly of magnetic colloidal particles into swarms that can climb vertical walls. The collective climbing behavior arises from the density-dependent velocity of the particles and their specific magnetic interactions on vertical surfaces. The resulting self-assembled wall-climbing swarm exhibits fingering instabilities at its leading edge and demonstrates both passive deformability in response to environmental constraints and active controllability. Our findings advance the understanding of collective behavior in active matter systems and nonequilibrium self-assembly in complex geometries, offering insights relevant to targeted drug delivery and the design of intelligent, soft materials.

Identifiers

PMID42497262
PMCPMC13398534

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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.