Data-driven framework based on machine learning and optimization algorithms to predict oxide-zeolite-based composite and reaction conditions for syngas-to-olefin conversion
Mansurbek Urol ugli Abdullaev, Woosong Jeon, Yun Chan Kang, Juhwan Noh, Jung H. Shin, Hee‐Joon Chun, Hyun Woo Kim, Yong Tae Kim
Topics & Concepts
SyngasOlefin fiberZeoliteComposite numberComputer scienceAlgorithmProcess engineeringMaterials scienceChemical engineeringCatalysisChemistryOrganic chemistryEngineeringCatalysis and Oxidation ReactionsCatalytic Processes in Materials ScienceCatalysts for Methane Reforming