most citedReview and Examination of Input Feature Preparation Methods and Machine Learning Models for Turbulence Modeling

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.DC2023

Towards Exascale Computation for Turbomachinery Flows

Yuhang Fu, Weiqi Shen, Jiahuan Cui +18

A state-of-the-art large eddy simulation code has been developed to solve compressible flows in turbomachinery. The code has been engineered with a high degree of scalability, enab…

physics.flu-dyn2020★ 2 cited

Review and Examination of Input Feature Preparation Methods and Machine Learning Models for Turbulence Modeling

Shirui Luo, Jiahuan Cui, Madhu Vellakal +4

Model extrapolation to unseen flow is one of the biggest challenges facing data-driven turbulence modeling, especially for models with high dimensional inputs that involve many flo…