73 citations · 252 across the 10 of their papers we have counts for
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physics.flu-dyn2022★ 65 cited
Study of transfer learning from 2D supercritical airfoils to 3D transonic swept wings
Runze Li, Yufei Zhang, Haixin Chen
Machine learning has been widely utilized in fluid mechanics studies and aerodynamic optimizations. However, most applications, especially flow field modeling and inverse design, i…
physics.flu-dyn2022★ 25 cited
Flowfield prediction of airfoil off-design conditions based on a modified variational autoencoder
Yunjia Yang, Runze Li, Yufei Zhang +1
Airfoil aerodynamic optimization based on single-point design may lead to poor off-design behaviors. Multipoint optimization that considers the off-design flow conditions is usuall…
physics.flu-dyn2022★ 31 cited
Physically Interpretable Feature Learning and Inverse Design of Supercritical Airfoils
Runze Li, Yufei Zhang, Haixin Chen
Machine-learning models have demonstrated a great ability to learn complex patterns and make predictions. In high-dimensional nonlinear problems of fluid dynamics, data representat…