The Paton Research Group
Computational chemistry, machine learning, and open-source tools for chemical discovery
We develop quantum chemical workflows and machine learning models to predict reactivity and selectivity in organic and organometallic reactions. A substantial part of our effort goes into open-source software, including AQME, GoodVibes, ALFABET, and CASCADE, which are used by research groups worldwide. We collaborate closely with experimental groups, who test our predictions and provide much of the data on which our models are trained and benchmarked.






