This repository is the part of the material science research at the University of Wisconsin-Madison Spring 2021 under Professor Dane Morgan's revision. We are exploring on how can we use machine learning models to predict the chemical properties of the molecules.
We work on QM9 dataset which provides quantum chemical properties for small organic molecules and explore MXM Net model current state-of-the-art Graph Neural Network (GNN) model on predicting formation energy.