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Data across the scales: data-driven multiphase flow reactor modeling
DOI:10.1016/j.coche.2025.101193.png)
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
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6.8
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1.2K
Citations:
5.0K
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