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Physics-informed neural networks for the Reynolds-Averaged Navier–Stokes modeling of Rayleigh–Taylor turbulent mixing

Mengjuan Xiao, Tengchao Yu, Yousheng Zhang, Heng Yong

2023Computers & Fluids36 citationsDOI

Topics & Concepts

Reynolds-averaged Navier–Stokes equationsTurbulenceTurbulence kinetic energyTurbulence modelingPhysicsArtificial neural networkK-epsilon turbulence modelReynolds stressKolmogorov microscalesMixing (physics)Rayleigh–Taylor instabilityTaylor microscaleK-omega turbulence modelStatistical physicsApplied mathematicsMechanicsComputer scienceMathematicsInstabilityArtificial intelligenceQuantum mechanicsModel Reduction and Neural NetworksNuclear Engineering Thermal-HydraulicsFluid Dynamics and Turbulent Flows
Physics-informed neural networks for the Reynolds-Averaged Navier–Stokes modeling of Rayleigh–Taylor turbulent mixing | Litcius