Machine learning–driven design of catalytic processes for sulfur dioxide oxidation: Lessons from the trenches
Despite the growing use of ML in chemical engineering, the catalytic conversion of sulfur dioxide (SO 2 ) to sulfur trioxide (SO 3 ) remains underexplored from a data‐driven modeling perspective. This study evaluates an integrated workflow for literature‐derived SO 2 oxidation data, combining data curation, p...