Reduced-order modeling (ROM) techniques in unsteady aerodynamics have emerged as indispensable tools for simplifying the complex interactions between fluid flow and structural dynamics. By condensing ...

Machine learning framework for reduced-order modeling and control in fluid–structure interaction. This figure illustrates a machine learning framework that compresses high-dimensional fluid–structure ...

Within the Aerospace Mechanics Research Center in the Department of Aerospace Engineering Sciences at the University of Colorado Boulder, the UQ and Data-driven lab is led by Professor Alireza Doostan ...

As artificial intelligence (AI) and machine learning (ML) continue to revolutionize industries, their integration with simulation is amplifying the capabilities of digital twins. AI/ML, simulation, ...