schnetpack

SchNetPack is a toolbox that facilitates the development and application of deep neural networks for predicting quantum-chemical properties and potential energy surfaces of molecules and materials. It includes features for training models on benchmark datasets and supports molecular dynamics simulations, making it a comprehensive tool for atomistic machine learning.