Evidence map›Paper›PMID 37572374›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2024

Synchronous and Fully Steerable Active Particle Systems for Enhanced Mimicking of Collective Motion in Nature.

Zhihan Chen, Hongru Ding, Pavana Siddhartha Kollipara, Jingang Li, Yuebing Zheng

Open access · greenAbstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2024. 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
1.5field-weighted citation impact, top 19% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Long-Distance Autonomous Navigation of Optical Microrobotic Swarms in Complex Environments.Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) · 2024
    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

5 authors at 2 institutions in 1 country.

Zhihan ChenMaterials Science and Engineering Program and Texas Materials Institute, The University of Texas at Austin, Austin, TX, 78712, USA.
Hongru DingWalker Department of Mechanical Engineering, The University of Texas at Austin, Austin, TX, 78712, USA.
Pavana Siddhartha KolliparaWalker Department of Mechanical Engineering, The University of Texas at Austin, Austin, TX, 78712, USA.
Jingang LiMaterials Science and Engineering Program and Texas Materials Institute, The University of Texas at Austin, Austin, TX, 78712, USA.
Yuebing ZhengMaterials Science and Engineering Program and Texas Materials Institute, The University of Texas at Austin, Austin, TX, 78712, USA.ORCID https://orcid.org/0000-0002-9168-9477
Walker (United States) · USThe University of Texas at Austin · US

Funding

Four-dimensional Adhesion Frequency Assay for Full Profiling of Receptor-ligand Interactions on CellsR01GM146962 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI ZHENG, YUEBING · 2022 to 2025
$1.5M
NIGMS NIH HHSNIGMS NIH HHS R01 GM146962NIH HHS R01GM146962
6 · The paper itself

Abstract

The collective motion observed in living active matter, such as fish schools and bird flocks, is characterized by its dynamic and complex nature, involving various moving states and transitions. By tailoring physical interactions or incorporating information exchange capabilities, inanimate active particles can exhibit similar behavior. However, the lack of synchronous and arbitrary control over individual particles hinders their use as a test system for the study of more intricate collective motions in living species. Herein, a novel optical feedback control system that enables the mimicry of collective motion observed in living objects using active particles is proposed. This system allows for the experimental investigation of the velocity alignment, a seminal model of collective motion (known as the Vicsek model), in a microscale perturbed environment with controllable and realistic conditions. The spontaneous formation of different moving states and dynamic transitions between these states is observed. Additionally, the high robustness of the active-particle group at the critical density under the influence of different perturbations is quantitatively validated. These findings support the effectiveness of velocity alignment in real perturbed environments, thereby providing a versatile platform for fundamental studies on collective motion and the development of innovative swarm microrobotics.

Indexed as

active particlescollective motionsfeedback controloptical manipulationvelocity alignment

Identifiers

PMID37572374
PMCPMC10859548
OpenAlexW4385775732

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.