127 citations · 762 across the 47 of their papers we have counts for
31 papers · 1 filter
Numerical Study of Compressibility and Velocity Parameter Effects on Spatially Evolving Supersonic Turbulent Shear Layers
M. R. B. Shahadat, Z. Li, F. A. Jaberi +1
Direct Numerical Simulations (DNS) of a spatially developing supersonic turbulent shear layer are conducted for a range of convective Mach numbers () and velocity parameters (…
Data-driven Mori-Zwanzig modeling of Lagrangian particle dynamics in turbulent flows
Xander de Wit, Alessandro Gabbana, Michael Woodward +3
The dynamics of Lagrangian particles in turbulence play a crucial role in mixing, transport, and dispersion in complex flows. Their trajectories exhibit highly non-trivial statisti…
Lagrangian Attention Tensor Networks for Velocity Gradient Statistical Modeling
Criston Hyett, Yifeng Tian, Michael Woodward +4
Direct numerical simulation of turbulence at realistic Reynolds numbers is still beyond current computational capability, necessitating models that reduce the number of resolved sp…
Mori-Zwanzig mode decomposition: Comparison with time-delay embeddings
Michael Woodward, Yen Ting Lin, Yifeng Tian +3
We introduce the Mori-Zwanzig Mode Decomposition (MZMD), a novel data-driven technique for efficient modal analysis of and reduced-order modeling of large-scale spatio-temporal dyn…
Data-Driven Mori-Zwanzig: Reduced Order Modeling of Sparse Sensors Measurements for Boundary Layer Transition
Michael Woodward, Yifeng Tian, Yen Ting Lin +5
Understanding, predicting and controlling laminar-turbulent boundary-layer transition is crucial for the next generation aircraft design. However, in real flight experiments, or wi…
Full trajectory optimizing operator inference for reduced-order modeling using differentiable programming
Surya Chakrabarti, Arvind T. Mohan, Datta V. Gaitonde +1
Accurate and inexpensive Reduced Order Models (ROMs) for forecasting turbulent flows can facilitate rapid design iterations and thus prove critical for predictive control in engine…