An auto-configurable and interpretable ensemble learning framework for optimal catalyst design of green methanol production via Bayesian optimization
Dongwen Rong, Zhao Wang, Qiwen Guo, Runjie Bao, Qingchun Yang
Topics & Concepts
Bayesian optimizationProduction (economics)MethanolBayesian probabilityEnsemble learningArtificial intelligenceCatalysisComputer scienceMachine learningProcess engineeringBiochemical engineeringEngineeringChemistryEconomicsOrganic chemistryMicroeconomicsCatalysts for Methane ReformingCatalytic Processes in Materials ScienceCatalysis and Hydrodesulfurization Studies