2024
DOI: 10.1063/5.0214605
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Detection of the irrotational boundary using machine learning methods

Shancong Tao,
Yuanliang Xie,
Xiaotian Shi
et al.

Abstract: Four machine learning methods, i.e., self-organizing map (SOM), Gaussian mixture model (GMM), eXtreme gradient boosting (XGBoost), and contrastive learning (CL), are used to detect the irrotational boundary (IB), which represents the outer edge of the turbulent and non-turbulent interface layer. To accurately evaluate the detection methods, high-resolution databases from direct numerical simulations of a temporally evolving turbulent plane jet are used. It is found that except for the SOM method, the general c… Show more

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