2 papers
physics.flu-dyn2026
A New Paradigm for 3D Turbomachinery Design: Generative Diffusion Model Based Framework with Direct Geometry Encoding
Yingfan Geng, Jinhong Wang, Lazaros Papachristodoulou +2
The aerodynamic design of turbomachinery is critical to the performance of the overall energy system, yet it is challenging due to the complex non-linear flow physics and the prese…
physics.flu-dyn2026
Diffusion Model Driven Airfoil Design: From Geometry Encoding to Practical Applications
Yingfan Geng, Jinhong Wang, Teng Cao
The diffusion model, the state-of-the-art generative machine-learning architecture, has shown promising results in airfoil inverse designs. In this study, we implement and trained…