A Physics-Informed Neural Network Framework for Modeling and Optimization of Biomass–Plastic Co-Pyrolysis Systems
Biomass–plastic co-pyrolysis is a promising route for sustainable fuel production; however, predictive modeling is limited by the inability of conventional kinetics to capture composition-dependent interactions and by thermodynamic inconsistencies in purely data-driven models. This study develops a physics-informed neu...