Using a kinetic model of a flow reactor system, we first estimate the DoS in the space of the failure rate and space time yield to show sample efficiency of EPA in comparison to random sampling. Next, by clustering the samples with low failure rates and visualizing each cluster with a parallel coordinates plot, we show that there are different ways to achieve a low failure rate (i.e., low impurity concentration). One such configuration is high reactant concentration, low temperature and long residence time, while another is low reactant concentration, high temperature and long residence time. In contrast to optimization approaches 4 that may not find all possible configurations, EPA discovers various ones from which a user can choose in terms of cost and safety. Our results show that EPA can make the most of kinetic models to provide a user comprehensive understanding about chemical processes.