Data‐driven identification of crystallization kinetics
Baggie W. Nyande,
Zoltan K. Nagy,
Richard Lakerveld
Abstract:A novel data‐driven methodology is presented for developing mathematical models for crystallization processes. The data‐driven approach is based on the sparse identification of nonlinear dynamics (SINDy) method, which iterates between a partial least‐squares fit and a sparsity‐promoting step leading to the discovery of sparse interpretable models. The performance of the SINDy methodology is characterized for the identification of crystallization kinetics in a mixed tank operated in a continuous mode, the isoth… Show more
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