Publications

A more complete list can be found on Google Scholar.

Lambert, W.*; Felten, S.*; Hadler, N.; Rinehart, N. I.; Swiatowiec, R.; Storer, G.; Henle, J.; Servos, M.; Yang, C.; Bay, A.; Eyimegwu, P.; Shekhar, S.; Hartwig, J. Unleashing the Power of Potassium 2-Ethylhexanoate as a Mild and Soluble Base for Pd-Catalyzed C-N Cross-Coupling. JACS, 2025. (*equal contribution)

Chen, J.*; Hadler, N.*; Xie, T.; Hnatyshyn, R.; Geniesse, C.; Yang, Y.; Mahoney, M. W.; Perciano, T.; Hartwig, J. F.; Maciejewski, R.; Weber, G. H. Landscaper: Understanding Loss Landscapes Through Multi-Dimensional Topological Analysis. arXiv, 2026. (*equal contribution)

Hadler, N.; Rinehart, N. I.; Elkin, M.; Nicolai, J.; Gheibi, G.; Chen, J.; Avaylon, M.; Maciejewski, R.; Weber, G. H.; Mahoney, M. W.; Perciano, T.; Hartwig, J. F. A 3D, Structure-Based, Deep Learning Approach for Predicting the Regioselectivity of Transition-Metal Catalysis. ChemRxiv, 2026.

Lambert, W.*; Felten, S.*; Hadler, N.; Rinehart, N. I.; Swiatowiec, R.; Storer, G.; Henle, J.; Servos, M.; Yang, C.; Bay, A.; Eyimegwu, P.; Shekhar, S.; Hartwig, J. Unleashing the Power of Potassium 2-Ethylhexanoate as a Mild and Soluble Base for Pd-Catalyzed C-N Cross-Coupling. ChemRxiv, 2025. (*equal contribution)

Hadler, N., A 3D, Structure-Based, Deep Learning Approach for Predicting the Regioselectivity of Olefin Hydroformylation, Oral Presentation at the 8th Artificial Intelligence in Chemistry Symposium, Cambridge, London, UK, September 2025
Hadler, N., Predicting the Regioselectivity of Olefin Hydroformylation with Machine Learning, Invited Poster Presentation: “Unlocking a New Era: How AI is Transforming Drug Discovery and Development Symposium”, ACS Spring, 2025
Hadler, N., Predicting the Regioselectivity of Olefin Hydroformylation with Machine Learning Bay Area Chemistry Symposium, 2024