From the 1 of 3 linked papers with an AI index.
3 papers
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…
Prediction of Steady-State Flow through Porous Media Using Machine Learning Models
Jinhong Wang, Matei C. Ignuta-Ciuncanu, Ricardo F. Martinez-Botas +1
Solving flow through porous media is a crucial step in the topology optimisation of cold plates, a key component in modern thermal management. Traditional computational fluid dynam…
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…