Official implementation of the paper "Neural Hamilton: Can A.I. Understand Hamiltonian Mechanics?"
-
Updated
Oct 31, 2024 - Python
Official implementation of the paper "Neural Hamilton: Can A.I. Understand Hamiltonian Mechanics?"
simulation displaying Newtonian gravity between two objects with mass
This repository contains the code and data associated with the paper titled "Reappraising double pendulum dynamics across multiple computational platforms"
Simulate and animate a hopping hoop! Make minimal assumptions.
Modelling solar systems using numerical methods and Newtonian physics.
Reposity that I will use as a compendium for my numerical approaches to several physics problems
Simulate a Newton's Cradle and analyze the data generated.
The training and evaluation code, synthetic datasets and pre-trained models accompanying the paper "Symplectic Learning for Hamiltonian Neural Networks" by M. David and F. Méhats.
Scripts done for the study of the double pendulum motion.
Add a description, image, and links to the classical-mechanics topic page so that developers can more easily learn about it.
To associate your repository with the classical-mechanics topic, visit your repo's landing page and select "manage topics."