Machine learning based coarse graining

In recent years, machine learning techniques have become very popular and surround us in our daily life already. They help us to rank internet search results, enable software to read hand writing, recognize voice commands, and sort out spam emails. Because of the huge data amounts produced in Simulations, computational chemistry is ideal for the application of machine learning. In this project machine learning techniques are used to develop coarse grained molecule representations.