A deep learning package for many-body potential energy representation and molecular dynamics
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Updated
Mar 17, 2026 - Python
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.
A structural design and kinematics project focusing on the conversion of elastic potential energy into kinetic energy for projectile ballistics, featuring iterative prototyping and experimental range validation.
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. 🌀🧬
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