The method of mathematical optimization was employed to determine unknown kinetic parameters in the polymerization process. This approach involved varying target parameters during CMMC simulations, using a fixed pseudorandom number generator to ensure consistent results. Fixing the generator was crucial for the stable operation of the optimization algorithms, as it minimized variability in simulation outcomes, allowing for more reliable convergence towards optimal parameters. The optimization process was guided by a loss function designed is the experimental maximum of the polymer SEC trace before degradation, 𝑀 !"# ,!-is the experimental maximum of the polymer SEC trace after degradation, 𝑀 &%' (*+' is the simulated maximum of the polymer log-MMD trace before degradation, and 𝑀 &%' ,!-is the simulated maximum of the polymer log-MMD trace after degradation,