A deep learning package for many-body potential energy representation and molecular dynamics
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Updated
Nov 19, 2024 - C++
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.
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