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3d geometry generation 1centrifugal compressors 1generative diffusion models 1inverse design 1turbomachinery 1

From the 1 of 8 linked papers with an AI index.

most citedAccurate identification and measurement of the precipitate area by two-stage deep neural networks in novel chromium-based alloys

16 citations · 18 across the 5 of their papers we have counts for

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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…