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.

Rating community resilience with a deep learning framework

An understanding of community resilience and risk analysis is vital when it comes to protecting civilians and infrastructure from natural hazards, such as hurricanes or earthquakes. Artificial intelligence is an efficient ...

Self-repairing spacecraft could change future missions

Healable spacecraft structures could soon be possible thanks to cutting-edge composite technology. Swiss companies CompPair and CSEM with Belgian company Com&Sens have partnered with the European Space Agency (ESA) to modify ...

Reshaping the future of urban experimentation for lasting change

Cities everywhere are running experiments to respond to climate change and sustainability challenges, such as new mobility trials, energy pilots, green space projects, circular economy approaches, and more. New research from ...

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