ArticleScience advances2022
Gravity-resisting colloidal collectives.
Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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.
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.
Who cites it
14 citing papers in PubMed.
- Three-dimensional reconfigurable magnetic microswarms with boundary-transcending capabilities.Science advances · 2026Article
- Collective climbing of colloidal swarms on the vertical wall.Science advances · 2026Article
- Transport of enzymatic activity across liquid-liquid interfaces using dynamic assemblies of magnetic particles via field-modulated interactions.Nature communications · 2026Article
- Dynamically assembled magnetic nanoparticles in a phase transitional matrix for reconfigurable electronics.Science advances · 2025Article
- Technology Roadmap of Micro/Nanorobots.ACS nano · 2025Review
- Reconfigurable robust microrobot collectives with large force output enabled by gradient magnetic fields.Science advances · 2025Article
- Cilia-Mimic Locomotion of Magnetic Colloidal Collectives Enhanced by Low-Intensity Ultrasound for Thrombolytic Drug Penetration.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Robotic Microcapsule Assemblies with Adaptive Mobility for Targeted Treatment of Rugged Biological Microenvironments.ACS nano · 2025Article
- Microrobotic Swarms for Cancer Therapy.Research (Washington, D.C.) · 2025Review
- Swarm Autonomy: From Agent Functionalization to Machine Intelligence.Advanced materials (Deerfield Beach, Fla.) · 2025Review
- Optoelectronically navigated nano-kirigami microrotors.Science advances · 2024Article
- Bioinspired self-assembled colloidal collectives drifting in three dimensions underwater.Science advances · 2023Article
- Collective Behaviors of Isotropic Micromotors: From Assembly to Reconstruction and Motion Control under External Fields.Nanomaterials (Basel, Switzerland) · 2023Review
- Biodegradable Microrobots and Their Biomedical Applications: A Review.Nanomaterials (Basel, Switzerland) · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Self-assembly of dynamic colloidal structures along the vertical direction has been challenging because of gravity and the complexity in controlling agent-agent interactions. Here, we present a strategy that enables the self-growing of gravity-resisting colloidal collectives. By designing a unique dual-axis oscillating magnetic field, time-varying interparticle interactions are induced to assemble magnetic particles against gravity into vertical collectives, with the structures continuing to grow until reaching dynamic equilibrium. The collectives have swarm behavior and are capable of height reconfiguration and adaptive locomotion, such as moving along a tilted substrate and under nonzero fluidic flow condition, gap and obstacle crossing, and stair climbing.
Identifiers
What OpenQuestion holds
Registered trials
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.