APA (7th ed.) Citation

ZH, L., Y, K., SA, C., E, P., G, J., B, N., . . . JP, R. (2026). Data-Driven Interrogation of Reactivity in Acid-Catalyzed Carbonyl-Olefin Metathesis with Machine Learning and Large Language Models. Journal of the American Chemical Society, 148(21), 21545. https://doi.org/10.1021/jacs.6c00975

Chicago Style (17th ed.) Citation

ZH, Li, et al. "Data-Driven Interrogation of Reactivity in Acid-Catalyzed Carbonyl-Olefin Metathesis with Machine Learning and Large Language Models." Journal of the American Chemical Society 148, no. 21 (2026): 21545. https://doi.org/10.1021/jacs.6c00975.

MLA (9th ed.) Citation

ZH, Li, et al. "Data-Driven Interrogation of Reactivity in Acid-Catalyzed Carbonyl-Olefin Metathesis with Machine Learning and Large Language Models." Journal of the American Chemical Society, vol. 148, no. 21, 2026, p. 21545, https://doi.org/10.1021/jacs.6c00975.