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Generate a dataset of hundreds of millions of chaotic double pendulum simulations at various angles, lengths, and simulation times. Then use Deep Learning with pytorch train a Neural Network to predict where the pendulums will be.
Интерактивная виртуальная лаборатория для симуляции и анализа сложной динамики двойного маятника, включая исследование хаоса, фазовых портретов и карт Пуанкаре.
Implementations in Unity of the Ten Minute Physics YouTube channel. Instead of using Unity's built-in physics engine, you will learn how to make your own. This is useful if you want to simulate ropes, cloth, tires, etc. You will also learn how to make fluid simulations and soft body physics.
AI-powered chaos detection using Simple Harmonic Motion (SHM) & Double Pendulum examples! Compare a Neural Network (NN) with the Lyapunov exponent method to classify chaotic vs. non-chaotic systems. Features Deep Learning, SHAP explainability, F1-score, precision, recall, and stunning visualizations!