A hybrid predictive modeling approach for catalyzed polymerization reactors

A hybrid predictive modeling approach for catalyzed polymerization reactors

Polymerization reactions are characterized by complex, nonlinear behaviors that pose significant challenges for conventional modeling techniques. Accurate and reliable models are crucial for advancing material science and enabling technological innovations across various industries. Conventional fir...

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Bibliographic Details
Main Authors: Omid Sobhani, Hamid Toliati, Furkan Elmaz, Shahab Pormoradi Gerdposhteh, Benedict Carius, Kevin Mets, Siegfried Mercelis
Format: Article
Language:English
Published: Elsevier 2024-11-01
Series:Chemical Engineering Journal Advances
Subjects:
Machine learning
Hybrid modeling
Polymerization process
Fed-batch chemical process
Online Access:http://www.sciencedirect.com/science/article/pii/S2666821124000796

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http://www.sciencedirect.com/science/article/pii/S2666821124000796

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