Page 3: Research news on Complex systems

Complex systems as a research area focuses on studying systems composed of many interacting components whose collective behavior exhibits nonlinearity, emergence, adaptation, and self-organization. It integrates methods from statistical physics, dynamical systems, information theory, network science, and computational modeling to characterize structure–dynamics relationships across domains such as biology, ecology, social systems, and technological networks. Research emphasizes multiscale interactions, feedback loops, critical phenomena, robustness, and phase transitions, often using agent-based models, coupled differential equations, or stochastic processes to understand how macroscopic patterns arise from microscopic rules and how these systems respond to perturbations or control interventions.

Light stands still in a deformed crystal

AMOLF researchers, in collaboration with Delft University of Technology, have succeeded in bringing light waves to a halt by deforming the two-dimensional photonic crystal that contains them. The researchers show that even ...

Validating the low-rank hypothesis in complex systems

In a new study, scientists have investigated the pervasive low-rank hypothesis in complex systems, demonstrating that despite high-dimensional nonlinear dynamics, many real networks exhibit rapidly decreasing singular values, ...

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