3d geometry generation 1centrifugal compressors 1generative diffusion models 1inverse design 1turbomachinery 1
From the 1 of 2 linked papers with an AI index.
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 paper introduces a denoising diffusion generative model that directly learns 3D blade geometry coordinates to solve inverse design problems for centrifugal compressors, produci…
physics.flu-dyn2026
Diffusion Model Driven Airfoil Design: From Geometry Encoding to Practical Applications
Yingfan Geng, Jinhong Wang, Teng Cao
Diffusion model, the state-of-the-art generative machine learning architecture, has shown promising results airfoil inverse designs. In this study, we implemented and trained a ser…