52 citations · 61 across the 3 of their papers we have counts for
3 papers
physics.flu-dyn2023★ 1 cited
Visual anemometry: physics-informed inference of wind for renewable energy, urban sustainability, and environmental science
John O. Dabiri, Michael F. Howland, Matthew K. Fu +1
Accurate measurements of atmospheric flows at meter-scale resolution are essential for a broad range of sustainability applications, including optimal design of wind and solar farm…
physics.flu-dyn2021★ 8 cited
A single-camera, 3D scanning velocimetry system for quantifying active particle aggregations
Matt K. Fu, Isabel A. Houghton, John O. Dabiri
A three-dimensional (3D) scanning velocimetry system is developed to quantify the 3D configurations of particles and their surrounding volumetric, three-component velocity fields.…
physics.flu-dyn2018★ 52 cited
Comparison between super-hydrophobic, liquid infused and rough surfaces: a DNS study
I. Arenas, E. Garcia, M. K. Fu +3
Direct Numerical Simulations of two superposed fluids in a channel with a textured surface on the lower wall have been carried out. A parametric study varying the viscosity ratio b…