The Paton Research Group

Predictive Computational Chemistry

Research in the Paton group is focussed on the development and application of computational tools to accelerate chemical discovery. Quantum chemistry, open source software and statistical modeling tools are used to explore organic reactivity and selectivity aided by extensive collaborations with experimentalists.

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Research

Data Driven Chemistry FI
Computer aided catalyst design
reaction mechanism

Recent Publications

Radical Chlorination of Non-Resonant Heterobenzylic C‒H Bonds and High-Throughput Diversification of Heterocycles.

Golden, D. L.; Flynn, K. M.; Aikonen, S.; Kalyani, D.; Krska, S. W.; Paton, R. S.; Stahl, S. S. Chem. 2024, accepted.

Predicting Lewis Acidity: Machine Learning the Fluoride Ion Affinity of p-Block Atom-based Molecules.

Sigmund, L. M.; Sowndarya, S. S. V.; Albers, A.; Erdmann, P.; Paton, R. S.; Greb, L. Angew. Chem. Int. Ed. 2024, DOI: 10.1002/anie.202401084

Mechanistic Investigation Reveals a Perylene-like Closed Shell Super-Photoreductant.

Sau, A.; Pompetti, N. F.; Green, A.; Popescu, M. V.; Paton, R. S.; Miyake, G. M.; Damrauer, N. H. ACS Catal. 2024, 14, 2252–2263

Bottom-Up Atomistic Descriptions of Top-Down Macroscopic Measurements: Computational Benchmarks for Hammett Electronic Parameters.

Luchini, G.; Paton, R. S. ACS Phys. Chem. Au2024, DOI: 10.1021/acsphyschemau.3c00045

Designing solvent systems in chemical processes using self-evolving solubility databases and graph neural networks.

Kim, Y.; Jung, H.; Kumar, S.; Claiborne, A.; Paton, R. S; Kim, S. Chem. Sci. 2024, 15, 923–939

The catalytic effects of active site conformational change in the allosteric activation of imidazole glycerol phosphate synthase.

Klem, H.; Alegre-Requena, J. V.; Paton, R. S. ACS Catal. 202313, 16249–16257.