Large-scale graph-machine-learning surrogate models for 3D-flowfield prediction in external aerodynamics
Abstract The article presents the application of inductive graph machine learning surrogate models for accurate and efficient prediction of 3D flow for industrial geometries, explicitly focusing here on external aerodynamics for a motorsport case. The final aim is to build a surrogate model that can...
Main Authors: | Davide Roznowicz, Giovanni Stabile, Nicola Demo, Davide Fransos, Gianluigi Rozza |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2024-03-01
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Series: | Advanced Modeling and Simulation in Engineering Sciences |
Subjects: | |
Online Access: | https://doi.org/10.1186/s40323-024-00259-1 |
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