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Interpretable machine learning analysis and automated modeling to simulate fluid-particle flows |
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| Institution: | Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai, 200240, China |
| Abstract: | |
| Keywords: | Filtered two-fluid model Fluid-particle flow Mesoscale closure Interpretable machine learning Automated machine learning Maximal information coefficient |
| 本文献已被 ScienceDirect 等数据库收录！ | |