Active Micro/Nanoparticles in Colloidal Microswarms
- PMID: 37242103
- PMCID: PMC10220621
- DOI: 10.3390/nano13101687
Active Micro/Nanoparticles in Colloidal Microswarms
Abstract
Colloidal microswarms have attracted increasing attention in the last decade due to their unique capabilities in various complex tasks. Thousands or even millions of tiny active agents are gathered with distinctive features and emerging behaviors, demonstrating fascinating equilibrium and non-equilibrium collective states. In recent studies, with the development of materials design, remote control strategies, and the understanding of pair interactions between building blocks, microswarms have shown advantages in manipulation and targeted delivery tasks with high adaptability and on-demand pattern transformation. This review focuses on the recent progress in active micro/nanoparticles (MNPs) in colloidal microswarms under the input of an external field, including the response of MNPs to external fields, MNP-MNP interactions, and MNP-environment interactions. A fundamental understanding of how building blocks behave in a collective system provides the foundation for designing microswarm systems with autonomy and intelligence, aiming for practical application in diverse environments. It is envisioned that colloidal microswarms will significantly impact active delivery and manipulation applications on small scales.
Keywords: active micro/nanoparticle; collective behavior; micro/nanorobot; microswarm; swarm control; wireless actuation.
Conflict of interest statement
The author declares no conflict of interest.
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References
-
- Anderson C., Theraulaz G., Deneubourg J.L. Self-Assemblages in Insect Societies. Insectes Sociaux. 2002;49:99–110. doi: 10.1007/s00040-002-8286-y. - DOI
-
- Vicsek T., Zafeiris A. Collective Motion. Phys. Rep. 2012;517:71–140. doi: 10.1016/j.physrep.2012.03.004. - DOI
-
- Peleg O., Peters J.M., Salcedo M.K., Mahadevan L. Collective Mechanical Adaptation of Honeybee Swarms. Nat. Phys. 2018;14:1193–1198. doi: 10.1038/s41567-018-0262-1. - DOI
-
- Peeters C., De Greef S. Predation on Large Millipedes and Self-Assembling Chains in Leptogenys Ants from Cambodia. Insectes Sociaux. 2015;62:471–477. doi: 10.1007/s00040-015-0426-2. - DOI
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