Semantic Scholar
metadata only
Design optimization of a curved wind turbine blade using neural networks and an aero-elastic vortex method under turbulent inflow
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Dynamic performance enhancement of adjustable blade pitch angle for wind generation system applications based on artificial neural network control techniques#253666
- Results of experimental studies of a jet-reactive turbine: Effect of pressure on torque#641205
- Wind turbine — Piasecki Frederick W (US7821148B2)#607242
- Computational Performance of Physics-Informed Neural Networks Versus the Rothermel Model in Wind-Topography-Fuel Interaction-Based Wildfire Spread Prediction#13340
- Computational Performance of Physics-Informed Neural Networks Versus the Rothermel Model in Wind-Topography-Fuel Interaction-Based Wildfire Spread Prediction#13339
Record · ID 19752
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive