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2. Recommendations for Future Efforts in RANS Modeling and Simulation
3. A perspective on machine learning methods in turbulence modeling
4. Perspectives on machine learning-augmented Reynolds-averaged and large eddy simulation models of turbulence
5. Using field inversion to quantify functional errors in turbulence closures