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.

How sea anemone cells reform into an organism

Researchers at the University of Vienna have discovered a key mechanism that enables sea anemones to regenerate into fully developed organisms from disorganized clusters of cells. The study, published in Nature Communications, ...

When motion prevents order in active matter systems

Pack enough string-like objects together, and they will begin to align with one another. But replace the strings with worms or bacteria living in your gut, and this self-organization becomes much more difficult. A team of ...

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 ...

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