Organizational Unit:
Daniel Guggenheim School of Aerospace Engineering
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Studies of turbulence structure using well-resolved simulations with and without effects of a magnetic field
A methodology to support relevant comparisons of Earth-Mars communication architectures
A methodology for conducting design trades related to advanced in-space assembly
Large scale stochastic control: Algorithms, optimality and stability
Adjoint-based aeroelastic optimization with high-fidelity time-accurate analysis
Development and validation of 3-D cloud fields using data fusion and machine learning techniques
Formal verification and validation of convex optimization algorithms for model predictive control
Computational fluid dynamics simulation of three-dimensional parallel jets
Source location of subsonic and supersonic jets of various geometeries via acoustic beamforming