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Machine learning-driven catalyst and system optimization for sustainable CO2-to-aromatics development: participation and economic perspectives

Yassine Bouazzi, Karim Kriaa, Ahmed Mohsin Alsayah, Mehraj‐ud‐din Naik, Mohamed Shaban, Abdellatif M. Sadeq, Narinderjit Singh Sawaran Singh, Khalil Hajlaoui

2025Fuel7 citationsDOI

Topics & Concepts

Greenhouse gasLife-cycle assessmentProcess engineeringProcess (computing)ScalabilityEnvironmental scienceComputer scienceCarbon fibersEnvironmental economicsHydrogenSustainabilityScope (computer science)CatalysisConvolutional neural networkWaste managementExergyCarbon footprintRenewable energyTransformative learningProcess integrationBiochemical engineeringProcess modelingCatalysts for Methane ReformingCatalysis for Biomass ConversionCarbon dioxide utilization in catalysis
Machine learning-driven catalyst and system optimization for sustainable CO2-to-aromatics development: participation and economic perspectives | Litcius