The interplay between laboratory experiments and machine learning in our approach is conceptually illustrated in Fig. . Processing conditions for new experiments are first selected by the BO algorithm. After the recommended experiments have been performed and experimental targets recorded, the results are used to update the BO model so that the cycle can start over.