Publications
7 results
510. 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,
2602, 07135.
509. 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.
ChemRixv 2026,
1, 10001648.
504. 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. .
J. Am. Chem. Soc. 2025,
147, 45871–45883.
466. Caldeweyher, E.; Elkin, M.; Gheibi, G.; Johansson, M.; Skold, C.; Norrby, P-O, Hartwig, J. F.
Hybrid Machine Learning Approach to Predict the Site Selectivity of Iridium-Catalyzed Arene Borylation.
J. Am. Chem. Soc. 2023,
145, 17367–17376.
380. Troshin, K.; Hartwig, J. F.
Snap deconvolution: An informatics approach to high-throughput discovery of catalytic reactions.
Science 2017,
357, 175-181.
264. Robbins, D.W.; Hartwig, J.F.
A Simple, Multi-Dimensional Approach to High-Throughput Discovery of Catalytic Reactions.
Science 2011,
333, 1423-1427.
114. Stambuli, J. P. and J. F. Hartwig
Recent Advances in the Discovery of Organometallic Catalysts Using High-Throughput Screening Assays.
Current Opinion in Chemical Biology 2003,
7, 420-426.
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