X, L., Y, C., L, C., T, L., K, W., L, L., . . . AI, C. (2024). Sequential closed-loop Bayesian optimization as a guide for organic molecular metallophotocatalyst formulation discovery. Nature chemistry, 16(8), 1286. https://doi.org/10.1038/s41557-024-01546-5
Chicago Style (17th ed.) CitationX, Li, Che Y, Chen L, Liu T, Wang K, Liu L, Yang H, Pyzer-Knapp EO, and Cooper AI. "Sequential Closed-loop Bayesian Optimization as a Guide for Organic Molecular Metallophotocatalyst Formulation Discovery." Nature Chemistry 16, no. 8 (2024): 1286. https://doi.org/10.1038/s41557-024-01546-5.
MLA (9th ed.) CitationX, Li, et al. "Sequential Closed-loop Bayesian Optimization as a Guide for Organic Molecular Metallophotocatalyst Formulation Discovery." Nature Chemistry, vol. 16, no. 8, 2024, p. 1286, https://doi.org/10.1038/s41557-024-01546-5.