研究论文
Modeling of the filtered drag force in gas–solid flows via a deep learning approach
Yu Zhang, Ming Jiang, Xiao Dong Chen, Yaxiong Yu, Qiang Zhou
Xi'an Jiaotong University
来源Chemical Engineering Science
年份2020
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63
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学术脉络
学科主题
工程Granular flow and fluidized beds
Lattice Boltzmann Simulation Studies · Particle Dynamics in Fluid Flows
参考文献 32
Learning representations by back-propagating errors
被引 31,658David E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams · Nature · 1986
Learning Spatiotemporal Features with 3D Convolutional Networks
被引 9,867Du Tran, Lubomir Bourdev, Rob Fergus · 2015
The role of meso-scale structures in rapid gas–solid flows
被引 747Kapil Agrawal, Peter N. Loezos, Madhava Syamlal · Journal of Fluid Mechanics · 2001
此处列出前 3 条
引用本文 63
Review of Machine Learning for Hydrodynamics, Transport, and Reactions in Multiphase Flows and Reactors
被引 283Li‐Tao Zhu, Xizhong Chen, Bo Ouyang · Industrial & Engineering Chemistry Research · 2022
Progress in CFD Simulations of Fluidized Beds for Chemical and Energy Process Engineering
被引 262Falah Alobaid, Naser Almohammed, Massoud Massoudi Farid · Progress in Energy and Combustion Science · 2021
Conventional and data‐driven modeling of filtered drag, heat transfer, and reaction rate in gas–particle flows
被引 90Li‐Tao Zhu, Bo Ouyang, He Lei · AIChE Journal · 2021
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