In principle, such mapping is sufficient to pick appropriate reaction conditions for the synthesis of a desired particle. However, said screening experiments are time and material consuming, and still only provide an incomplete picture when it comes to the polymer concentration as variable in the parameter space. Hence, using principle of machine learning, and more specifically BO, provides a faster avenue at finding optimum synthesis conditions. Further, even if conditions of synthesis are known, already small variations in the system can lead to significant changes in the outcome of an experiment. BO is able to correct for such changes, and hence a fully reproducible condition is only provided with use of machine learning.