Research
Our research group is dedicated to solving challenges in the physics and modeling of fluid applications for aerospace using transformative methods. We integrate mathematical theory with high-performance numerical simulations and experiments to address complex problems across a broad spectrum—from 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,…