No AccessMachine Learning Models of Errors in Large Eddy Simulation Predictions of Surface Pressure FluctuationsMatthew F. Barone, Julia Ling, Kenny Chowdhary, Warren Davis and Jeffrey FikeMatthew F. BaroneSandia National LaboratoriesSearch for more papers by this author, Julia LingSandia National LaboratoriesSearch for more papers by this author, Kenny ChowdharySandia National LaboratoriesSearch for more papers by this author, Warren DavisSandia National LaboratoriesSearch for more papers by this author and Jeffrey FikeSandia National LaboratoriesSearch for more papers by this authorAIAA 2017-3979Session: Special Topics in Fluid DynamicsPublished Online:2 Jun 2017https://doi.org/10.2514/6.2017-3979SectionsRead Now ToolsAdd to favoritesDownload citationTrack citations ShareShare onFacebookXLinked InRedditEmail About Previous chapter Next chapter FiguresReferencesRelatedDetailsSee PDF for referencesCited byNumerical Investigation of Aero-Optical Distortions from High-Speed Turbulent Boundary LayersPedro Castillo, Andreas Gross, Nathan E. Miller , Kyle P. Lynch, Daniel R. Guildenbecher and Stanislav Gordeyev2 September 2024 | AIAA Journal, Vol. 62, No. 10Extreme pressure coefficients: modelling a hydraulic jump using deep-learning based methods25 April 2024 | Sādhanā, Vol. 49, No. 2Accurate, Real-Time Replication of Governing Equations of Physical Systems with Transpose CNNs — for Industry 4.0 and Digital Twins25 July 2021Data-driven model for improving wall-modeled large-eddy simulation of supersonic turbulent flows with separation3 December 2021 | Physics of Fluids, Vol. 33, No. 12Accurate Replication of Simulations of Governing Equations of Processes in Industry 4.0 Environments with ANNs for Enhanced Monitoring and Control1 Dec 2019Robust Bayesian Calibration of a k−ε Model for Compressible Jet-in-Crossflow SimulationsJaideep Ray, Lawrence Dechant, Sophia Lefantzi, Julia Ling and Srinivasan Arunajatesan30 September 2018 | AIAA Journal, Vol. 56, No. 12Improved airfoil polar predictions with data-driven boundary-layer closure relations18 June 2018 | Journal of Physics: Conference Series, Vol. 1037 What's Popular 47th AIAA Fluid Dynamics Conference 5-9 June 2017Denver, Coloradohttps://doi.org/10.2514/6.2017-3979 CrossmarkInformationThis material is declared a work of the U.S. Government and is not subject to copyright protection in the United States. TopicsAerodynamicsAerospace SciencesBoundary LayersComputational Fluid DynamicsConservation of Momentum EquationsEquations of Fluid DynamicsFlow RegimesFluid DynamicsFluid Flow PropertiesNumerical AnalysisRunge-Kutta MethodsTurbulenceTurbulence ModelsVortex Dynamics KeywordsMachine LearningComputational Fluid DynamicsMultilayer PerceptronCompressible Boundary LayerWall Bounded Turbulent FlowsPower Spectral DensityMach NumbersReynolds Averaged Navier StokesTurbulence ModelsVelocity ProfilesDigital Submission Topic Fluid Dynamics