PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 11, 2026Science1 citations

Shape anisotropy governs organization of active rods: Swarming, turbulence, flocking, and jamming

View Full Paper
YSYogesh G. ShelkeASAnpuj Nair SHVHanumantha Rao Vutukuri

Key Points

  • The study investigates how the shape of self-propelled rods influences their organization into different states.
  • Combined experimental and simulation approaches used to analyze active rod behavior.
  • Varied rod aspect ratios and area fractions to study phase transitions.
  • Developed a state diagram to summarize emergent behaviors.
  • Conducted spatiotemporal analyses to examine fluctuations in states.
  • Active Brownian motion transitions to swarming, turbulence, flocking, and jamming with varying shape and density.
  • Identified distinct giant-number fluctuations across different behavioral states.
  • Findings suggest parallels between synthetic systems and biological rodlike microswimmers.

Abstract

Shape anisotropy of individual building blocks plays a crucial role in creating exotic structures and controlling phase behavior in equilibrium systems. We present a combined experimental and simulation study in which we used light-driven self-propelled rods to investigate when and how shape-induced alignment and steric and hydrodynamic interactions govern self-organization. Varying rod aspect ratio and area fraction causes the system to evolve from active Brownian motion to swarming, active turbulence, flocking, large clusters, and jamming. A state diagram summarizes emergent behaviors, and spatiotemporal analyses reveal distinct giant-number fluctuations across states. This minimal model offers insight into the self-organization of biological rodlike microswimmers, enabling the decoupling of physical from biological mechanisms. Our results provide design rules for programmable synthetic active materials and highlight parallels with bacterial swarms and other biological assemblies.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Shelke et al. (2026) studied this question.

synapsesocial.com/papers/69d9e64e78050d08c1b76aa8https://doi.org/10.1126/science.ady7618
Ask AI
Helpful
Bookmark
Share
View Full Paper