Hypersonic Flow

Hypersonic flow research focuses on accurately modeling and predicting the complex fluid dynamics of extremely high-speed flows, crucial for designing hypersonic vehicles and weapons systems. Current research emphasizes developing efficient and accurate computational methods, including neural operators (like DeepONets and U-Nets) and physics-informed neural networks (PINNs), often employing ensemble methods to improve prediction reliability and uncertainty quantification. These advancements are significant because they offer faster, more accurate simulations than traditional methods, enabling improved design, optimization, and real-time decision-making in hypersonic applications.