Researchers identify novel catalysts through a combination of experimental and computational approaches. High-throughput screening allows for the rapid testing of numerous catalyst candidates, while computational modeling and machine learning aid in predicting catalytic behaviors and guiding experiments. Moreover, understanding the fundamental mechanisms of catalysis through techniques like in-situ spectroscopy helps in designing better catalysts.
