2 papers
physics.flu-dyn2025
Interpretable data-driven turbulence modeling for separated flows using symbolic regression with unit constraints
Boqian Zhang, Juanmian Lei
Machine learning techniques have been applied to enhance turbulence modeling in recent years. However, the "black box" nature of most machine learning techniques poses significant…
cs.LG2025
CTSR: Cartesian tensor-based sparse regression for data-driven discovery of high-dimensional invariant governing equations
Boqian Zhang, Juanmian Lei, Guoyou Sun +2
Accurate and concise governing equations are crucial for understanding system dynamics. Recently, data-driven methods such as sparse regression have been employed to automatically…