Machine learning and physics‐informed modeling of cluster coalescence and breakage in gas–solid flows
Particle clusters and their dynamic evolution significantly affect the hydrodynamics and performance of fluidization reactors. Population balance models provide a theoretical framework for describing such dynamic behaviors, whereas quantitative descriptions of breakage and coalescence kernels remain unavailable. In t...