Kevin discusses the ongoing efforts to refine their candidate selection process for catalysts, emphasizing the importance of stability alongside activity. By exploring the Pareto front of multiple objectives, they aim to identify materials that balance both performance and longevity. Future research will also involve leveraging machine learning techniques to enhance experimental selection and improve prediction accuracy.
