Machine learning-based prediction of biomass pyrolysis kinetics: integrating mechanistic modeling and compositional features

Key Points

• This research aims to predict the kinetic triplet of biomass pyrolysis using machine learning and mechanistic modeling.
• Utilized machine learning to analyze descriptors related to sapodilla-leaves pyrolysis.
• Applied Coats–Redfern thermogravimetric analysis (TGA) for kinetic and thermodynamic parameter fitting.
• Successfully predicted the kinetic triplet of pyrolysis using machine learning techniques.
• Identified stage-specific kinetic and thermodynamic parameters through the mechanistic interpretation of the data.