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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]:7 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