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A deep learning approach using temporal-spatial data of computational fluid dynamics for fast property prediction of gas-solid fluidized bed 期刊论文
KOREAN JOURNAL OF CHEMICAL ENGINEERING, 2023, 卷号: 40, 期号: 1, 页码: 57-66
Authors:  Qin, Pengfei;  Xia, Zhaojie;  Guo, Li
Favorite  |  View/Download：2/0  |  Submit date：2023/05/19
Gas-solid Fluidized Bed  CFD Surrogate Model  Deep Learning  Multi-scale Convolutional Neural Network  Voidage Distribution Prediction  
Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models 期刊论文
JOURNAL OF SCIENTIFIC COMPUTING, 2023, 卷号: 94, 期号: 1, 页码: 37
Authors:  Cheng, Sibo;  Chen, Jianhua;  Anastasiou, Charitos;  Angeli, Panagiota;  Matar, Omar K. K.;  Guo, Yi-Ke;  Pain, Christopher C. C.;  Arcucci, Rossella
Favorite  |  View/Download：17/0  |  Submit date：2023/02/24
Deep learning  Data assimilation  Reduced-order-modelling  Explainable AI  Recurrent neural networks  
Machine learning-aided optimization of coal decoupling combustion for lowering NO and CO emissions simultaneously 期刊论文
COMPUTERS & CHEMICAL ENGINEERING, 2022, 卷号: 162, 页码: 11
Authors:  Jin, Nani;  Guo, Li;  Liu, Xinhua
Favorite  |  View/Download：22/0  |  Submit date：2023/02/24
Machine learning  Deep neural network  Gated recurrent unit  Decoupling combustion  Pollutant emission  Coal stove  
Computed tomography in process engineering 期刊论文
CHEMICAL ENGINEERING SCIENCE, 2022, 卷号: 252, 页码: 17
Authors:  Meng, Fanyong
Favorite  |  View/Download：10/0  |  Submit date：2023/02/24
Computed tomography  Process engineering  Non-invasive measurement  Dynamic imaging  Deep learning  Data fusion  Virtual experimentation  
Transfer learning for process fault diagnosis: Knowledge transfer from simulation to physical processes 期刊论文
COMPUTERS & CHEMICAL ENGINEERING, 2020, 卷号: 139, 页码: 10
Authors:  Li, Weijun;  Gu, Sai;  Zhang, Xiangping;  Chen, Tao
Favorite  |  View/Download：56/0  |  Submit date：2020/09/22
Fault diagnosis  Transfer learning  Model-process mismatch  Deep learning  Computer simulation  Domain adaptation  
Complexity at Mesoscales: A Common Challenge in Developing Artificial Intelligence 期刊论文
ENGINEERING, 2019, 卷号: 5, 期号: 5, 页码: 924-929
Authors:  Guo, Li;  Wu, Jun;  Li, Jinghai
Favorite  |  View/Download：51/0  |  Submit date：2020/03/24
Artificial intelligence  Deep learning  Mesoscience  Mesoscale  Complex system