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

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

2021Acta Mechanica Sinica1,817 citationsDOIOpen Access PDF

Topics & Concepts

DiscretizationInverse problemFlow (mathematics)Artificial neural networkFluid dynamicsComputer scienceFluid mechanicsInverseApplied mathematicsTheoretical computer scienceComputational sciencePhysicsArtificial intelligenceMathematicsMechanicsMathematical analysisGeometryModel Reduction and Neural NetworksFluid Dynamics and Turbulent FlowsFluid Dynamics and Vibration Analysis
Physics-informed neural networks (PINNs) for fluid mechanics: a review | Litcius