Predictive models are crucial for several reasons. They can significantly speed up the discovery of new catalysts by narrowing down the vast parameter space that needs to be experimentally tested. This not only saves time but also reduces costs associated with materials and labor. Furthermore, these models can provide deeper insights into the underlying mechanisms of catalytic reactions, which can be used to develop more efficient and selective catalysts.
