| Catalytic asymmetric C–H insertion reactions of vinyl carbocations SK Nistanaki, CG Williams, B Wigman, JJ Wong, BC Haas, S Popov, ... Science 378 (6624), 1085-1091, 2022 | 41 | 2022 |
| Dataset design for building models of chemical reactivity P Raghavan, BC Haas, ME Ruos, J Schleinitz, AG Doyle, SE Reisman, ... ACS Central Science 9 (12), 2196-2204, 2023 | 35 | 2023 |
| Predicting relative efficiency of amide bond formation using multivariate linear regression BC Haas, AE Goetz, A Bahamonde, JC McWilliams, MS Sigman Proceedings of the National Academy of Sciences 119 (16), e2118451119, 2022 | 35 | 2022 |
| Data Science-Enabled Palladium-Catalyzed Enantioselective Aryl-Carbonylation of Sulfonimidamides L van Dijk, BC Haas, NK Lim, K Clagg, JJ Dotson, SM Treacy, ... Journal of the American Chemical Society, 2023 | 30 | 2023 |
| Enantioselective Sulfonimidamide Acylation via a Cinchona Alkaloid-Catalyzed Desymmetrization: Scope, Data Science, and Mechanistic Investigation BC Haas, NK Lim, J Jermaks, E Gaster, MC Guo, TC Malig, J Werth, ... Journal of the American Chemical Society, 2024 | 11 | 2024 |
| Datasets and models enclosed within the paper: Rapid Prediction of Conformationally-Dependent DFT-Level Descriptors using Graph Neural Networks for Carboxylic Acids and Alkyl … B Haas, M Hardy, SS Santhanalakkshmi_Vejaykummar, K Adams, ... figshare, 2024 | 1 | 2024 |
| Applying statistical modeling strategies to sparse datasets in synthetic chemistry BC Haas, D Kalyani, MS Sigman Science Advances 11 (1), eadt3013, 2025 | | 2025 |
| Leveraging Computational Chemistry and Data Science Tools to Enhance Reaction Development BC Haas The University of Utah, 2024 | | 2024 |
| Rapid prediction of conformationally-dependent DFT-level descriptors using graph neural networks for carboxylic acids and alkyl amines BC Haas, MA Hardy, SSV Sowndarya, K Adams, CW Coley, RS Paton, ... Digital Discovery, 2024 | | 2024 |