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Spatiotemporal parallel physics-informed neural networks: A framework to solve inverse problems in fluid mechanics Journal article
Xu, Shengfeng, Yan, Chang, Zhang, Guangtao, Sun, Zhenxu, Huang, Renfang, Ju, Shengjun, Guo, Dilong, Yang, Guowei. Spatiotemporal parallel physics-informed neural networks: A framework to solve inverse problems in fluid mechanics[J]. Physics of Fluids, 2023, 35(6), 065141.
Authors:  Xu, Shengfeng;  Yan, Chang;  Zhang, Guangtao;  Sun, Zhenxu;  Huang, Renfang; et al.
Favorite | TC[WOS]:8 TC[Scopus]:10  IF:4.1/4.1 | Submit date：2023/07/20
Artificial Neural Networks  Machine Learning  Fluid Mechanics  Navier Stokes Equations  Turbulence Simulations  Turbulent Flows  Viscosity  
An improvement to continuous random walk model for sediment diffusion in inhomogeneous turbulent flows Journal article
Wenxin Li, Huabin Shi, Xiping Yu. An improvement to continuous random walk model for sediment diffusion in inhomogeneous turbulent flows[J]. Environmental Fluid Mechanics, 2023, 23(4), 779 - 797.
Authors:  Wenxin Li;  Huabin Shi;  Xiping Yu
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:1.7/2.1 | Submit date：2023/06/03
Continuous Random Walk  Drift Velocity  Euler–lagrange Model  Inhomogeneous Turbulent Flows  Sediment Motion