Publications

Ling, J., & Templeton, J.A. (2015). Evaluation of machine learning algorithms for prediction of regions of high Reynolds averaged Navier Stokes uncertainty. Physics of Fluids, 27(8). 10.1063/1.4927765

Wagenhoffer, N., & Ling, J. (2015). Turbulent Flow Simulations for Machine Learning [Presentation]. https://www.osti.gov/biblio/1340035

Kurzawski, J.C., & Ling, J. (2015). First Steps Toward Adaptive Turbulence Model Corrections [Presentation]. https://www.osti.gov/biblio/1340131

Ling, J., Ryan, K., Bodart, J., & Eaton, J. (2015). ANALYSIS OF TURBULENT SCALAR FLUX MODELS FOR A DISCRETE HOLE FILM COOLING FLOW [Conference Poster]. https://www.osti.gov/biblio/1255000

Ling, J. (2015). Improving RANS Modeling of Trailing Edge Slot Film Cooling Flows AND Using Machine Learning to Detect When RANS will Fail [Presentation]. https://www.osti.gov/biblio/1246850

Ling, J., & Eaton, J. (2014). Improvements in Turbulent Scalar Mixing Modeling for Trailing Edge Slot Film Cooling Geometries: A Combined Experimental and Computational Approach [Conference Poster]. https://www.osti.gov/biblio/1244906

Ling, J., Ryan, K.J., & Eaton, J.K. (2014). Turbulent Scalar Flux Modeling for an Inclined Jet in Crossflow: An Analysis of the Error Incurred by Various Modeling Assumptions [Conference Poster]. https://www.osti.gov/biblio/1242117