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Speeding up turbulent reactive flow simulation via a deep artificial neural network: A methodology study

Yi Ouyang, Laurien A. Vandewalle, Lin Chen, Pieter Plehiers, Maarten R. Dobbelaere, Geraldine J. Heynderickx, Guy Marin, Kevin M. Van Geem

2021Chemical Engineering Journal33 citationsDOIOpen Access PDF

Topics & Concepts

Artificial neural networkTurbulenceComputer scienceComputational fluid dynamicsDeep learningFlow (mathematics)Monte Carlo methodField (mathematics)GridArtificial intelligenceSimulationEngineeringMechanicsPhysicsAerospace engineeringMathematicsGeometryPure mathematicsStatisticsNuclear reactor physics and engineeringNuclear Engineering Thermal-HydraulicsHeat transfer and supercritical fluids
Speeding up turbulent reactive flow simulation via a deep artificial neural network: A methodology study | Litcius