"Machine learning in process systems engineering: Challenges and opportunities."

Prodromos Daoutidis et al. (2024)

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DOI: 10.1016/J.COMPCHEMENG.2023.108523

access: closed

type: Journal Article

metadata version: 2024-08-04

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Prodromos Daoutidis, Jay H. Lee, Srinivas Rangarajan, Leo Chiang, R. Bhushan Gopaluni, Artur M. Schweidtmann, Iiro Harjunkoski, Mehmet Mercangöz, Ali Mesbah, Fani Boukouvala, Fernando V. Lima, Ehecatl Antonio del Rio-Chanona, Christos Georgakis:
Machine learning in process systems engineering: Challenges and opportunities. Comput. Chem. Eng. 181: 108523 (2024)

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