synosys_site_visualitation
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[cc-by]: http://creativecommons.org/licenses/by/4.0/ [cc-by-image]: https://i.creativecommons.org/l/by/4.0/88x31.png [cc-by-shield]: https://img.shields.io/badge/License-CC%20BY%204.0-lightgrey.svg
[cc-by]: http://creativecommons.org/licenses/by/4.0/ [cc-by-image]: https://i.creativecommons.org/l/by/4.0/88x31.png [cc-by-shield]: https://img.shields.io/badge/License-CC%20BY%204.0-lightgrey.svg
a module for making square and hexagonal lattices
Dieses explorable zeigt ein einfaches Verkehrsmodell, das in der Lage ist die spontane Entstehung von sogenannt Phantomstaus zu beschreiben, die sich entgegen der Verkehrsrichtung ausbreiten, wenn die Zielgeschwindigkeiten einzelener Verkehrsteilnehmer gr
a module for making square and hexagonal lattices
This explorable illustrates the basic mechanism of evolution. In a population of replicating species, species with the highest fitness dominate until mutations yield yet more fit species. The fitness of the entire population increases steadily.
This explorable illustrates a model for pattern formation in microbial communities. Depending on parameters like food concentration, medium resistance and others, the emerging pattern exhibit different characteristics.
This explorable is a spatial implementation of the Kuramoto Model for phase coupled oscillators. It illustrates spatial synchronization and the dynamics of phase singularities.
This explorable illustrates the beauty of strange attractors of selected two-dimensional chaotic maps. The attractors change shape as a function of their parameters.
This explorable illustrates pattern formation in bacterial populations in which different clones with identical fitness expand in space.
This explorable illustrates dynamic patterns that emerge when collective motion and synchronization interact in a swarm of phase coupled oscillators.
This explorable illustrates a simple model for pedestrian dynamics. The model can explain spontaneous lane formation in opposing flows, congestion patterns, and phenomena like crowd turbulence.
This explorable illustrates the dynamics of a simple neural network model that is able to self-organize a one- or two-dimensional representation of a complicate input space.
This explorable illustrates, as a representative of a broad range of dynamic phenomena, a simple model for the spatial spread of forest fires and the dynamic patterns they generate.
The explorable illustrates dynamic pattern formation and spiral waves in a cyclic reaction-diffusion system. In the model three species prey on each other in a cyclic way, A eating B, B eating C, and C eating A.
The explorable illustrates spatio-temporal pattern formation in a system of pulse-coupled oscillators. The model is a generic model that yields spiral waves and target patterns depending on the parameter choices.
This explorable illustrates a dynamic network that explains the emergence of groups of uniform opinion. Nodes can change their opinion based on their open-mindedness and can rewire their connections to other nodes that are like them.
This is a model for collective behavior in animals, e.g. flocks of birds or schools of fish based on simple rules of interaction.
A collection of regular fractals that illustrates the nature of self-similarity
This explorable illustrates a simple and beautiful model for swarms, flocks and collective motion in animal populations.