Physics-informed neural networks (PINNs) for fluid mechanics: a review

Shengze Cai; Zhiping Mao; Zhicheng Wang; Minglang Yin; George Em Karniadakis

doi:10.1007/s10409-021-01148-1

Keywords

DiscretizationInverse problemFlow (mathematics)Artificial neural networkFluid dynamicsComputer scienceFluid mechanicsInverseApplied mathematicsTheoretical computer scienceComputational sciencePhysicsArtificial intelligenceMathematicsMechanicsMathematical analysisGeometry

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Publication Info

Year: 2021
Type: review
Volume: 37
Issue: 12
Pages: 1727-1738
Citations: 1392
Access: Closed

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APA Style

                            
                                
                                    Shengze Cai, 
                                
                                    Zhiping Mao, 
                                
                                    Zhicheng Wang
                                
                                et al.
                            
                            (2021). 
                            Physics-informed neural networks (PINNs) for fluid mechanics: a review. 
                            Acta Mechanica Sinica
                            , 37
                            (12)
                            , 1727-1738.
                            https://doi.org/10.1007/s10409-021-01148-1
                        

Identifiers

DOI: 10.1007/s10409-021-01148-1