Machine learning-aided catalyst screening and multi-objective optimization for the indirect CO<sub>2</sub> hydrogenation to methanol and ethylene glycol process
Qingchun Yang, Yingjie Fan, Zhou Jianlong, Lei Zhao, Yichun Dong, Jianhua Yu, Dawei Zhang
Abstract
A proposed machine learning-aided framework for screening and multi-objective optimization of catalysts for an indirect CO 2 hydrogenation process.
Topics & Concepts
Ethylene glycolCatalysisMethanolProcess (computing)EthyleneProcess optimizationProcess engineeringChemistryComputer scienceOrganic chemistryMaterials scienceChemical engineeringEngineeringOperating systemCatalysts for Methane ReformingCarbon dioxide utilization in catalysisMachine Learning in Materials Science