Research news on Self-organized systems

Self-organized systems as a research area investigate distributed processes in which macroscopic order, structure, or function emerges from local interactions among many components without centralized control. The field encompasses theoretical modeling, analysis, and simulation of nonlinear dynamical systems, often drawing on statistical physics, complex systems theory, network science, and information theory. Research focuses on identifying generic mechanisms (e.g., feedback loops, pattern formation, criticality), characterizing robustness and adaptability, and deriving principles that explain emergent behavior in physical, biological, social, and engineered systems, with applications to swarm robotics, decentralized control, collective decision-making, and adaptive infrastructure.

Sunray-like ripples emerge on a frozen reaction front

Researchers in Belgium have unveiled a striking chemical reaction in which ripples along a frozen reaction front resemble the rays of a shining star. Publishing their results in Physical Review Letters, Anne De Wit and colleagues ...

Bacterial 'brains' operate on the brink of order and disorder

The sensory proteins that control the motion of bacteria constantly fluctuate. AMOLF researchers, together with international collaborators from ETH Zurich and University of Utah, found out that these proteins can jointly ...

Randomness reveals hidden order in the plant world

In the intricate architecture of plant tissues, beauty often emerges from chaos, according to new research from Cornell researchers. Findings from a recent study show how randomness and growth together create the striking ...

page 1 from 4