Building a metadata-centric archive for experimental aerodynamics
High-quality experimental aerodynamic datasets are essential for advancing CFD validation and AI-driven flow modelling, yet much experimental data remains inaccessible or poorly structured. Existing archives often suffer from usability, standardization, and discoverability issues. To address these g...
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| Main Authors: | , , , |
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| Format: | Default Conference proceeding |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/31048942.v1 |
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