The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Fire ants self-assemble into waterproof rafts to survive floods
Open accessAbstract
Why does a single fire ant Solenopsis invicta struggle in water, whereas a group can float effortlessly for days? We use time-lapse photography to investigate how fire ants S. invicta link their bodies together to build waterproof rafts. Although water repellency in nature has been previously viewed as a static material property of plant leaves and insect cuticles, we here demonstrate a self-assembled hydrophobic surface. We find that ants can considerably enhance their water repellency by linking their bodies together, a process analogous to the weaving of a waterproof fabric. We present a model for the rate of raft construction based on observations of ant trajectories atop the raft. Central to the construction process is the trapping of ants at the raft edge by their neighbors, suggesting that some “cooperative” behaviors may rely upon coercion.
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Capillarity and Wetting Phenomena
de Gennes, P.-G., Brochard-Wyart, F., & Quéré, D. (2004) · Springer eBooks · doi:10.1007/978-0-387-21656-0 · Cited by 3,121
Characterization and Distribution of Water-repellent, Self-cleaning Plant Surfaces
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DROP IMPACT DYNAMICS: Splashing, Spreading, Receding, Bouncing…
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Water-repellent legs of water striders
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Stochastic Differential Equations
Øksendal, B. (2003) · Universitext · doi:10.1007/978-3-642-14394-6 · Cited by 2,082
Capillarity and wetting phenomena: drops, bubbles, pearls, waves
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Cited by
Programmable self-assembly in a thousand-robot swarm
Rubenstein, M., Cornejo, A., & Nagpal, R. (2014) · Science · doi:10.1126/science.1254295 · Cited by 1,308
Arzt, E., Quan, H., McMeeking, R. M., & Hensel, R. (2021) · Progress in Materials Science · doi:10.1016/j.pmatsci.2021.100823 · Cited by 253
Dong, X., & Sitti, M. (2020) · The International Journal of Robotics Research · doi:10.1177/0278364920903107 · Cited by 198
Artificial intelligence, robotics, ethics, and the military: a Canadian perspective
Wasilow, S., & Thorpe, J. B. (2019) · AI Magazine · doi:10.1609/aimag.v40i1.2848 · Cited by 42
Metadata
- Authors
- Mlot, N. J., Tovey, C. A., & Hu, D. L.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2011-04-25
- Volume
- 108
- Issue
- 19
- Pages
- 7669-7673
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2122752955
- Cited by
- 295
- References
- 29
- FWCI
- 6.58
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.