Evidence map›Paper›PMID 34945379›Full record

ArticleMicromachines2021

Reconfigurable Disk-like Microswarm under a Sawtooth Magnetic Field.

Tao Zhang, Yuguo Deng, Bo Zhou, Jiayu Liu, Yufeng Su, Mu Li, Weiwei Zhang

Abstract read
In one paragraph

Article in Micromachines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Recent Advances in Collective Behaviors of Micro/Nanomotor Swarms.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  2. 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

7 authors.

Tao ZhangSchool of Mechanical Engineering, Zhengzhou University, Zhengzhou 450001, China.
Yuguo DengSchool of Mechanical Engineering, Zhengzhou University, Zhengzhou 450001, China.
Bo ZhouSchool of Mechanical Engineering, Zhengzhou University, Zhengzhou 450001, China.
Jiayu LiuSchool of Mechanical Engineering, Zhengzhou University, Zhengzhou 450001, China.
Yufeng SuSchool of Mechanical Engineering, Zhengzhou University, Zhengzhou 450001, China.ORCID 0000-0003-1675-1776
Mu LiDepartment of Pharmacy, The Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China.
Weiwei ZhangSchool of Mechanical Engineering, Zhengzhou University, Zhengzhou 450001, China.ORCID 0000-0003-0030-7937

Funding

National Natural Science Foundation of China U1904169the Scientific and technological research project of Henan province 212102210073
6 · The paper itself

Abstract

Swarming robotic systems, which stem from insect swarms in nature, exhibit a high level of environmental adaptability and enhanced tasking capabilities for targeted delivery and micromanipulation. Here, we present a strategy that reconfigures paramagnetic nanoparticles into microswarms energized by a sawtooth magnetic field. A rotary-stepping magnetic-chain mechanism is proposed to address the forming principle of disk-like swarms. Based on programming the sawtooth field, the microswarm can perform reversible transformations between a disk, an ellipse and a ribbon, as well as splitting and merging. In addition, the swarms can be steered in any direction with excellent maneuverability and a high level of pattern stability. Under accurate manipulation of a magnetic microswarm, multiple microparts with complicated shapes were successfully combined into a complete assembly. This reconfigurable swarming microrobot may shed light on the understanding of complex morphological transformations in living systems and provide future practical applications of microfabrication and micromanipulation.

Indexed as

disk-like swarmmicroassemblymicrorobotsawtooth magnetic field

Identifiers

PMID34945379
PMCPMC8708609

What OpenQuestion holds

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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.