Neural: Machine-Learning for Atomistics, v0.1a
Code as a research output can either be uploaded directly from your computer or through the code management system GitHub. Versioning of code repositories is supported.
Neural provides machine-learning tools to accelerate and extend atomistic calculations. In version 0.1a, both a Cartesian and a Behler-Parinello implementation of neural network potentials are included.