DOI: 10.3390/pr14162622 ISSN: 2227-9717

Editorial: Machine Learning Optimization of Chemical Processes

An Su

The integration of machine learning into chemical process optimization has undergone a remarkable evolution in recent years, moving rapidly from proof-of-concept demonstrations in controlled laboratory settings to deployment in real industrial environments [...]

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