Explainable AI-based deep learning architectures for hydrogen prediction in biomass syngas and photocatalysis processes: Towards a sustainable and efficient energy economy
This study, focusing on sustainable energy production and particularly the hydrogen (H 2 ) economy, presents an advanced artificial intelligence (AI) framework for accurately predicting H 2 production from sucrose photocatalysis catalyzed by LaFeO 3 (GLFO) and the H 2 concentration in syngas derived from biomass conver...