Bayesian optimization (BO) is an indispensable tool to optimize objective functions that either do not have known functional forms or are expensive to evaluate. Currently, optimal experimental design ...

Chemists also commonly utilize systematic, model-driven approaches to reaction optimization 11,12,13. For example, design of experiments (DOE) seeks to sample experimental conditions that facilitate ...