A deep learning package for many-body potential energy representation and molecular dynamics

⚗️ Prediction of molecular energies based on their conformations using neural networks

🎮 🛹 An iOS game to teach little kids about Kinetic and Potential Energy

Library to keep track of a sequential potential energy landscape

Program to perform a liquid simulation in order to obtain the radial distribution function using a Monte Carlo approach. The program can use two different potential types, Lennard-Jones and Stillinger potentials.

Déconstruction unifiée des énergies cinétiques et topologiques. Un framework "Lichen-Collective" redéfinissant l'énergie mécanique comme un échange dynamique de symétrie et d'information à travers le treillis structurel de la réalité. 🌀🧬