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Data across the scales: data-driven multiphase flow reactor modeling

delete2025-10-30
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PRE
AI
H
Hamed Hoorijani
Y
Yi Ouyang
G
Geraldine J. Heynderickx
K
Kevin M. Van Geem
DOI:10.1016/j.coche.2025.101193delete
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Abstract

Abstract

En 中文
• Cross-scale learning introduced for data models of multiphase reactors. • PINNS, operator- and GPT-based models highlighted as future directions. • Challenges and opportunities of data models for multiphase reactors discussed.

Journal

Current Opinion in Chemical Engineering cover
Current Opinion in Chemical Engineering
IF:
6.8
Papers:
1.2K
Citations:
5.0K

Organization

No organization information available