Chaotic attractors with python (Lorenz, Rossler, Rikitake etc.)
Animation of the motion a double-pendulum. Both Julia and Python versions of the code are given.
Non-Linear Dynamic Systems
A collection of chaotic ODEs.
Neural network that has been trained to detect temporal correlation and distinguish chaotic from stochastic signals
An interactive exploration tool for dynamics in chaotic systems.
0-1 Test for Chaos - Distinguish between regular and chaotic dynamics in deterministic dynamical systems.
Here, we can find different simulations of chaotic scenarios in physics. The codes were written as part of the University dissertation and intend to visualise and provide meaningful explanation to the system's characteristics.
Implementation of classical and recurrence-free quantum reservoir computing for predicting chaotic dynamics
Numerical results for deterministic dynamics of a system coupled to a finite and chaotic bath.
A double pendulum uGen with circle map forcing
A Python package to simulate and measure chaotic dynamical systems.
Annimated Visualization of the Lorenz Attractor
web-utilized react synthesizer test
An OpenAI gym environment designed for the control of dynamical systems
Bifurcation Diagrams for Discrete Time Chaotic Maps
Bifurcation Diagrams for Discrete-Time Maps in Python - https://doi.org/10.5281/zenodo.13276873
Julia and Auto-07p codes for the paper "From chimeras to extensive chaos in networks of heterogeneous Kuramoto oscillator populations", by Pol Floriach, Jordi Garcia-Ojalvo, and Pau Clusella.
Test para detectar chaos en series de tiempo: K~0 no hay caos, K~1 signos de caos
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