Collective behavior as a research area investigates how large ensembles of interacting agents—such as cells, animals, humans, or artificial units—generate emergent spatiotemporal patterns and coordinated dynamics that cannot be trivially inferred from individual-level rules. It integrates concepts and methods from statistical physics, nonlinear dynamics, complex systems theory, network science, and computational modeling to characterize phenomena such as synchronization, swarming, flocking, consensus formation, and phase transitions in social or biological systems. Research focuses on identifying local interaction rules, quantifying macroscopic order parameters, understanding robustness and criticality, and developing predictive, often multi-scale, models of group-level organization and decision-making.
Researchers at Université de Montréal have created a nanoantenna to monitor the motions of proteins. Reported this week in Nature Methods, the device is a new method to monitor the structural change of proteins over time—and ...
Bio & Medicine
Jan 10, 2022
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1590
Thanks to work by scientists from the RIKEN Center for Emergent Matter Science and collaborators, scientists are closer to creating devices that can use microscopic movements in a coordinated way to create coherent motion ...
Nanophysics
Nov 26, 2021
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31
