Development and Use of Machine-Learnt Algebraic Reynolds Stress Models for Enhanced Prediction of Wake Mixing in Low-Pressure Turbines

Applying Machine Learnt Explicit Algebraic Stress and Scalar Flux Models to a Fundamental Trailing Edge Slot

Large-Eddy Simulation and RANS Analysis of the End-Wall Flow in a Linear Low-Pressure Turbine Cascade, Part I: Flow and Secondary Vorticity Fields Under Varying Inlet Condition

On the Identification and Decomposition of the Unsteady Losses in a Turbine Cascade

Machine-Learnt Turbulence Closures for Low-Pressure Turbines With Unsteady Inflow Conditions

Machine Learning for the Development of Data-Driven Turbulence Closures in Coolant Systems