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#aerospace-engineering News & Analysis

2 articles tagged with #aerospace-engineering. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AIBullisharXiv – CS AI · Jun 17/10
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Full-field prediction for engineering-scale three-dimensional aircraft with multigrid-hierarchical learning

Researchers introduce MHLF, a multigrid-hierarchical deep learning framework that accelerates computational fluid dynamics simulations for full-scale 3D aircraft by 3-8x while maintaining high-fidelity accuracy across subsonic, transonic, and supersonic flight regimes. This breakthrough addresses a critical bottleneck in aerospace design by enabling practical full-flow-field prediction for engineering-scale aircraft, moving beyond previous limitations of 2D or simplified models.

AINeutralarXiv – CS AI · Jun 46/10
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Semantic Constraint Synthesis for Adaptive Trajectory Optimization via Large Language Models

Researchers have developed a framework using large language models to automatically translate natural language mission descriptions into executable trajectory optimization code for spacecraft operations. The approach demonstrates high success rates in formulating complex space mission problems, potentially reducing the domain expertise required for trajectory design in autonomous space exploration.