Research
Our research group tackles key challenges in the physics and modeling of aerospace fluid flows using transformative methods. We integrate mathematical theory, simulations, and experiments to address complex problems spanning UAVs and commercial airliners to hypersonic vehicles.
Methods for causal learning, model discovery & control of chaotic systems
A.I. closure models for computational fluids in aerospace
Dynamics of turbulent flows
Methods for causal learning, model discovery & control of chaotic systems
Information-theoretic formulation of causality, modeling & control
Causal learning for analysis of complex systems
Causality-preserving model discovery for prediction of chaotic systems
Causality-driven control of chaotic systems
Quantum computing algorithms for chaotic solutions
A.I. closure models for computational fluids in aerospace
Artificial Intelligence closure model discovery for large-eddy simulation
Applications to UAVs, commercial airliners, rotorcraft, supersonic & hypersonic vehicles.
Dynamics of turbulent flows
Fundamental understanding of turbulent flows: scaling laws, underlying physical mechanisms, conceptual models,…
Non-equilibrium turbulence: pressure gradients effects, flow separation, statistically unsteady effects, wall roughness, compressibility effects,…