most citedIncorporating basic calibrations in existing machine-learned turbulence modeling

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physics.flu-dyn2026

A formal log(Re)-cost framework for the engineering turbulence problem

Jiaqi Li, Robert F. Kunz, George Huang +1

In fluid engineering, the turbulence problem is the longstanding challenge of obtaining accurate predictions of engineering quantities at affordable computational cost. Viewed thro…

physics.flu-dyn2023★ 1 cited

Incorporating basic calibrations in existing machine-learned turbulence modeling

Jiaqi J. L. Li, Yuanwei Bin, George P. Huang +1

This work aims to incorporate basic calibrations of Reynolds-averaged Navier-Stokes (RANS) models as part of machine learning (ML) frameworks. The ML frameworks considered are tens…