Data · dataset · 2026
FiLM-PPO for Requirement-Aware Airfoil Optimization
Listed in Teesside University Research Data Repository
This dataset contains curated source data and compact processed supporting data for the manuscript "A FiLM-Modulated Conditional PPO Framework for Requirement-Aware Airfoil Optimization".
Description
The data support the reported results on training convergence, target-lift tracking, L/D-weight response, FiLM-vs-concatenation ablation, few-shot adaptation to unseen design requirements, airfoil-geometry comparison, and Pareto-front quality analysis.
The package includes figure source data, table source data, processed supporting CSV/JSON files, a file manifest, and metadata mapping each file to the corresponding manuscript figure or table. Large intermediate training and search caches were excluded when smaller figure/table source files preserve the values used in the manuscript. The associated code is available at github.com/dyll123/FiLM-PPO-airfoil-optimaiztion.
Links
Where it is published
- DOI doi.org/10.17632/8xjcv527w2.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Aerospace engineering · Artificial intelligence · Computational methods in fluid flow, heat and mass transfer · Computer Science & AI · Earth & Environmental Science · Engineering · Mechanical engineering
- Inferred from text
- Tabular 65%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/8xjcv527w2.1 | 17 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:401204 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Computational Fluid Dynamics'] |
| concepts[field].anzsrc:group:4001 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Aerospace Engineering'] |
| concepts[field].anzsrc:group:4017 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Mechanical Engineering'] |
| concepts[field].anzsrc:group:4602 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Artificial Intelligence'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:tabular | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |