Machine-Assisted Design and Evaluation

Abstract

This effort matures advanced machine-assisted design algorithms to explore design spaces and improve resilience for Future Vertical Lift (FVL). Physics-informed machine learning will improve and augment high-fidelity simulation and expand availability of high-fidelity data for tradespace generation and analysis. Reinforcement learning and other computational exploration methods will improve evaluation of mission effectiveness of FVL platforms.

Document Details

Document Type
Accomplishment
Publication Date
Oct 01, 2025
Source ID
bdc28c7e96da77cfec0091bdb8af5554

Tags

Fields of Study

  • Computer science

Readers

  • Military Science and Technology Research and Modernization.
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • AI & ML - Neural Networks
  • Space

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