hypersonic

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Advancing turbulence models for hypersonic flows using machine learning 
News Article, July 14, 2025 • Sandia researchers utilized machine learning techniques to address the limitations of Reynolds-averaged Navier-Stokes (RANS) turbulence models in predicting hypersonic turbulent flows, with a particular emphasis on inaccuracies in wall heating predictions for flows involving shock boundary layer interactions. This research has led to the development of neural-network-based machine learned turbulence...

Fortifying fire control algorithms for cooperative hypersonic target prediction and interception
News Article, May 13, 2026 • Side-by-side comparison of aimpoint selection methods including traditional, literature-based, and Sandia’s multi-hypothesis approach for defending an asset from a hypersonic threat. (Click image to expand) Hypersonic weapons pose a challenge to missile defense systems due to their extreme speed, unpredictable maneuvers, and aimpoint ambiguity. To meet this threat, Sandia Laboratory...