Machine Learning

Machine learning potentials

We combine machine learning (ML) with quantum mechanics and molecular dynamics to efficiently study conformational flexibility and solvent effects in organic and organometallic reactions.

Machine learning for molecular design

We apply a range of machine learning models to predict chemical properties and guide the design of new synthetic pathways. We are particularly interested in interpreting our models’ predictions.