Abstract In materials science, the discovery of recipes that yield nanomaterials with defined optical properties is costly and time-consuming. this study, we present a two-step framework for machine learning-driven high-throughput microfluidic platform to rapidly produce silver nanoparticles desired absorbance spectrum. Combining Gaussian process-based Bayesian optimization (BO) deep neural net...