Integrating Bayesian Optimization for Enhancing Parameter Estimation Workflows for Modeling Crystallization Processes
Accurate estimation of kinetic parameters is essential for developing population balance models in crystallization processes. Parameter estimation (PE) problems are often formulated as black-box optimization tasks, which are computationally expensive due to the large parameter space and the wide variability of crysta...