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For: Hwang S, Pan J, Sunny AA, Fan LS. A machine learning-based particle-particle collision model for non-spherical particles with arbitrary shape. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2022.117439] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Number Cited by Other Article(s)
1
Qu S, Zhang W, You C. Modeling of Combustion Characteristics of Particles in Transient Gas–Solid Reacting Flow via a Machine Learning Approach. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.2c02697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
2
Deep learning for drag force modelling in dilute, poly-dispersed particle-laden flows with irregular-shaped particles. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2022.118299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
3
Wang S, Wei Z, Ji S. Investigation of the flow characteristics of spherical harmonic particles using the level set method. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.118069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
4
Ma H, Zhou L, Liu Z, Chen M, Xia X, Zhao Y. A review of recent development for the CFD-DEM investigations of non-spherical particles. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.117972] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
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