A comprehensive machine learning strategy for designing high-performance photoanode catalysts

Machine learning models are used to capture intricate relationships among BiVO 4 photoanodes, cocatalysts, and electrolytes. Model interpretability is then performed to provide some heuristic rules to guide cocatalyst selection for BiVO 4 photoanodes.