Data-driven turbulent heat flux modeling with inputs of multiple fidelity

Matilde Fiore, Enrico Saccaggi, Lilla Koloszar +2

Data-driven RANS modeling is emerging as a promising methodology to exploit the information provided by high-fidelity data. However, its widespread application is limited by challe…