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A practical approach to flow field reconstruction with sparse or incomplete data through physics informed neural network

Shengfeng Xu, Zhenxu Sun, Renfang Huang, Dilong Guo, Guowei Yang, Shengjun Ju

2022Acta Mechanica Sinica106 citationsDOIOpen Access PDF

Topics & Concepts

Computer scienceArtificial neural networkVector fieldField (mathematics)Convergence (economics)Data setMissing dataAlgorithmFlow (mathematics)Artificial intelligenceMachine learningMathematicsMechanicsPhysicsEconomicsEconomic growthPure mathematicsModel Reduction and Neural NetworksFluid Dynamics and Turbulent FlowsNuclear Engineering Thermal-Hydraulics
A practical approach to flow field reconstruction with sparse or incomplete data through physics informed neural network | Litcius