Low rattling: A predictive principle for self-organization in active collectives
Abstract
In classical statistical mechanics, the deterministic dynamics of a many-body system are replaced by a probabilistic description. Chvykov et al. work toward a similar description for the nonequilibrium self-organization of collectives of active particles. In these systems, continuously input energy drives localized fluctuations, but larger-scale ordering can emerge, such as in the flight of a flock of birds. A key concept in their theory is the importance of rattling, whereby ordered patterns emerge through local collisions between neighbors at specific frequencies. The authors demonstrate this behavior using a set of flapping robots and produce related simulations of the robot behavior.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jan 01, 2021
- Source ID
- 10.1126/science.abc6182
Entities
People
- Akash Vardhan
- Alexander Samland
- Daniel I. Goldman
- Jeremy L England
- Kurt Wiesenfeld
- Pavel Chvykov
- Thomas A Berrueta
- Todd D Murphey
- William Savoie
Organizations
- Army Research Office
- GSK
- Georgia Tech
- James S. McDonnell Foundation
- Massachusetts Institute of Technology
- National Science Foundation
- Northwestern University