ML-RKIM: Physics-Informed Machine Learning for Reaction Kinetics Identification and Modeling
The method identified sparse, closed-form kinetic representations while reducing reliance on a single predefined kinetic model, and demonstrates the potential of this approach to accelerate kinetic characterization across polymer, food, and biomolecular processing applications, where accurate kinetic models are essenti...