most citedPhysics-informed dynamic mode decomposition (piDMD)

3 citations · 5 across the 2 of their papers we have counts for

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physics.flu-dyn20251 cited

Diff-SPORT: Diffusion-based Sensor Placement Optimization and Reconstruction of Turbulent flows in urban environments

Abhijeet Vishwasrao, Sai Bharath Chandra Gutha, Andres Cremades +6

Rapid urbanization demands accurate and efficient monitoring of turbulent wind patterns to support air quality, climate resilience and infrastructure design. Traditional sparse rec…

physics.flu-dyn2024

Coupled dynamics of wall pressure and transpiration, with implications for the modeling of tailored surfaces and turbulent drag reduction

Simon Toedtli, Anthony Leonard, Beverley McKeon

Wall-based active and passive flow control for drag reduction in low Reynolds number (Re) turbulent flows can lead to three typical phenomena: i) attenuation or ii) amplification o…

physics.flu-dyn20231 cited

Lagrangian Gradient Regression for the Detection of Coherent Structures from Sparse Trajectory Data

Tanner D. Harms, Steven L. Brunton, Beverley J. McKeon

Lagrangian Coherent Structures (LCS) are flow features which are defined to objectively characterize complex fluid behavior over a finite time regardless of the orientation of the…

physics.flu-dyn2023

Spatio-temporal characterization of non-linear forcing in turbulence

Yuting Huang, Simon S. Toedtli, Gregory P. Chini +1

The quadratic convection term in the incompressible Navier-Stokes equations is considered as a non-linear forcing to the linear operator, and it is studied in the Fourier domain th…

physics.flu-dyn20236 cited

The transformative potential of machine learning for experiments in fluid mechanics

Ricardo Vinuesa, Steven L. Brunton, Beverley J. McKeon

The field of machine learning has rapidly advanced the state of the art in many fields of science and engineering, including experimental fluid dynamics, which is one of the origin…

physics.flu-dyn20231 cited

From resolvent to Gramians: extracting forcing and response modes for control

Benjamin Herrmann, Peter J. Baddoo, Scott T. M. Dawson +3

During the last decade, forcing and response modes produced by resolvent analysis have demonstrated great potential to guide sensor and actuator placement and design in flow contro…