Generative conditional flow matching deep learning estimates kinetic parameters for itaconic acid production simulations more accurately and robustly than direct deep learning, matching nonlinear regression across operating conditions and scales.
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Deep Learning for Model Calibration in Simulation of Itaconic Acid Production
Generative conditional flow matching deep learning estimates kinetic parameters for itaconic acid production simulations more accurately and robustly than direct deep learning, matching nonlinear regression across operating conditions and scales.