Catalyst discovery involves a chain of decisions from molecular representation to process conditions and measured yield. A model is valuable when it helps researchers decide which candidates deserve attention.
Explainable property prediction and structured comparison can make the search space smaller without pretending that simulation or prediction replaces experimental validation.