A priori analysis on deep learning of subgrid-scale parameterizations for Kraichnan turbulence
Suraj Pawar, Omer San, Adil Rasheed, Prakash Vedula
Topics & Concepts
A priori and a posterioriComputer scienceArtificial neural networkHyperparameterTurbulence modelingLarge eddy simulationDeep learningFeedforward neural networkHyperparameter optimizationGridArtificial intelligenceConvolutional neural networkTurbulenceAlgorithmFeed forwardReynolds-averaged Navier–Stokes equationsField (mathematics)StencilMachine learningFlow (mathematics)Function (biology)Closure (psychology)Model selectionProbability density functionComputational fluid dynamicsPattern recognition (psychology)PerceptronViscosityActivation functionData modelingModel Reduction and Neural NetworksFluid Dynamics and Turbulent FlowsAdvanced Numerical Methods in Computational Mathematics