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机译:A deep learning approach using temporal-spatial data of computational fluid dynamics for fast property prediction of gas-solid fluidized bed
State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences,Beijing 100190, P. R. China,School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing 100049, P. R. China;
State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences,Beijing 100190, P. R. China,School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing 100049, P. R. China,Innovation;
Gas-solid Fluidized Bed; CFD Surrogate Model; Deep Learning; Multi-scale Convolutional Neural Network; Voidage Distribution Prediction;