A comprehensive machine learning strategy for designing high-performance photoanode catalysts
Mei‐Rong Huang, Sutong Wang, Hongwei Zhu
Abstract
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.
Topics & Concepts
InterpretabilityHeuristicSelection (genetic algorithm)Computer scienceArtificial intelligenceMachine learningNanotechnologyBiochemical engineeringMaterials scienceEngineeringAdvanced Photocatalysis TechniquesMachine Learning in Materials ScienceCatalytic Processes in Materials Science