2 citations · 2 across the 4 of their papers we have counts for
4 papers
Sparse flow reconstruction methods to reduce the costs of analyzing large unsteady datasets
Spencer L. Stahl, Stuart I. Benton
The cost of writing, transferring, and storing large data from unsteady simulations limits access to the entire solution, often leaving much of the flow under-sampled or unanalyzed…
Shear-Layer Perturbation Responses from Time-Resolved Schlieren Data
Spencer L. Stahl, Chandan Kumar, Datta V. Gaitonde
A novel combination of physics-based and data-driven post-processing techniques is proposed to extract acoustic-related shear-layer perturbation responses directly from spatio-temp…
A data-driven approach to guide supersonic impinging jet control
Spencer L. Stahl, Datta V. Gaitonde
A data-driven framework using snapshots of an uncontrolled flow is proposed to identify, and subsequently demonstrate, effective control strategies for different objectives in supe…
Conditional space-time POD extensions for stability and prediction analysis
Spencer Stahl, Chitrarth Prasad, Hemanth Goparaju +1
The correlation and extraction of coherent structures from a turbulent flow is a principle objective of data-driven modal decomposition techniques. The Conditional space-time Prope…