JIANG XIAOMO
Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
Title : 工业装备数字孪生省重点实验室主任，大工碳中和研究院院长
Browse on mobile
Paper Publications
Efficient large-scale graph learning for predicting the 3D multi-physics flow fields of axial compressor Rotor37 with variable geometry
Hits:
Indexed by:Journal Papers
Document Code:475946
Date of Publication:2025-07-01
Journal:ENERGY
Volume:326
ISSN:0360-5442
Key Words:3D flow field prediction; Axial compressor; Graph neural networks; Message passing mechanism; Rotor37; Sub-graph clustering