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Machine-learning for turbulence and heat-flux model development: A review of challenges associated with distinct physical phenomena and progress to date

Richard D. Sandberg, Yaomin Zhao

2022International Journal of Heat and Fluid Flow50 citationsDOI

Topics & Concepts

TurbulenceComputer scienceClosure (psychology)Consistency (knowledge bases)Turbulence modelingStatistical physicsMechanicsArtificial intelligencePhysicsEconomicsMarket economyFluid Dynamics and Turbulent FlowsModel Reduction and Neural NetworksNuclear Engineering Thermal-Hydraulics
Machine-learning for turbulence and heat-flux model development: A review of challenges associated with distinct physical phenomena and progress to date | Litcius