activity
20102026
most citedFish schooling as a basis for vertical axis wind turbine farm design

210 citations · 733 across the 34 of their papers we have counts for

collaborators

35 papers

quant-ph2026

Thermometry in Near-Degenerate Nitrogen-Vacancy Ensembles Enabled by Bright-Dark-State Mixing

Matt K. Fu, John O. Dabiri

Nitrogen-vacancy (NV) centers have emerged as a highly sensitive platform for spatially resolved temperature measurements. When the and $\lvert0\…

physics.flu-dyn2025★ 1 cited

Buoyancy-dependent induced flow by vertically migrating swimmers

Nina Mohebbi, John O. Dabiri

Collective vertical swimming may generate aggregate-scale flows that contribute to mixing and transport in stratified environments. The strength of these flows depends not only on…

physics.flu-dyn2025

Visual anemometry of natural vegetation from their leaf motion

Roni H. Goldshmid, John O. Dabiri, John E. Sader

High-resolution, near-ground wind-speed data are critical for improving the accuracy of weather predictions and climate models, supporting wildfire control efforts,…

physics.flu-dyn2025

A model for Reynolds-dependent linear instability in wall-bounded shear flows

John O. Dabiri, Anthony Leonard

Recent work demonstrated that alternative models to the "no-slip" boundary condition for incipient flow perturbations can produce linear instabilities that do not arise in the clas…

cs.RO2024

AquaMILR+: Design of an untethered limbless robot for complex aquatic terrain navigation

Matthew Fernandez, Tianyu Wang, Galen Tunnicliffe +4

This paper presents AquaMILR+, an untethered limbless robot designed for agile navigation in complex aquatic environments. The robot features a bilateral actuation mechanism that m…

physics.flu-dyn2024

Surfing vortex rings for energy-efficient propulsion

Peter Gunnarson, John O. Dabiri

Leveraging background fluid flows for propulsion has the potential to enhance the range and speed of autonomous aerial and underwater vehicles. In this work, we demonstrate experim…

physics.flu-dyn2024★ 16 cited

Wake dynamics of wind turbines in unsteady streamwise flow conditions

Nathaniel J. Wei, Adnan El Makdah, JiaCheng Hu +3

The unsteady flow physics of wind-turbine wakes under dynamic forcing conditions are critical to the modeling and control of wind farms for optimal power density. Unsteady forcing…

physics.flu-dyn2024★ 1 cited

Fish-inspired tracking of underwater turbulent plumes

Peter Gunnarson, John O. Dabiri

Autonomous ocean-exploring vehicles have begun to take advantage of onboard sensor measurements of water properties such as salinity and temperature to locate oceanic features in r…

physics.flu-dyn2024★ 6 cited

Measurements and modelling of induced flow in collective vertical migration

Nina Mohebbi, Joonha Hwang, Matthew K. Fu +1

Hydrodynamic interactions between swimming or flying organisms can lead to complex flows on the scale of the group. These emergent fluid dynamics are often more complex than a line…

physics.flu-dyn2023

Do swimming animals mix the ocean?

John O. Dabiri

The world's oceans are in constant motion, transporting the sun's heat from the equator to the poles, bringing marine life fresh supplies of oxygen and nutrients, and sequestering…

physics.flu-dyn2023

Linear instability of viscous parallel shear flows: revisiting the perturbation no-slip condition

John O. Dabiri, Anthony Leonard

Linear stability analysis currently fails to predict turbulence transition in canonical viscous flows. We show that two alternative models of the boundary condition for incipient p…

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-dyn2023

Persistent Laminar Flow at Reynolds Numbers Exceeding 100,000

John O. Dabiri, Nina Mohebbi, Matthew K. Fu

Accurate prediction of the transition from laminar flow to turbulence remains an unresolved challenge despite its importance for understanding a variety of environmental, biologica…

physics.flu-dyn2022★ 21 cited

Power-generation enhancements and upstream flow properties of turbines in unsteady inflow conditions

Nathaniel J. Wei, John O. Dabiri

Energy-harvesting systems in complex flow environments, such as floating offshore wind turbines, tidal turbines, and ground-fixed turbines in axial gusts, encounter unsteady stream…

physics.flu-dyn2022

Physical constraints on visual anemometry using vegetation displacement statistics

Roni H. Goldshmid, John O. Dabiri

Visual anemometry (VA) leverages observations of fluid-structure interactions to infer incident flow characteristics. Recent work has demonstrated the concept of VA using both data…

physics.bio-ph2022★ 2 cited

Magnetic signature of vertically migrating aggregations in the ocean

Matt K. Fu, John O. Dabiri

The transport of heat and solutes by vertically migrating aggregations of plankton has long been explored as a potentially important source of ocean mixing. However, direct evidenc…

cs.RO2022★ 1 cited

SerialTrack: ScalE and Rotation Invariant Augmented Lagrangian Particle Tracking

Jin Yang, Yue Yin, Alexander K. Landauer +7

We present a new particle tracking algorithm to accurately resolve large deformation and rotational motion fields, which takes advantage of both local and global particle tracking…

math.OC2022

Collective wind farm operation based on a predictive model increases utility-scale energy production

Michael F. Howland, Jesus Bas Quesada, Juan Jose Pena Martinez +5

Wind turbines located in wind farms are operated to maximize only their own power production. Individual operation results in wake losses that reduce farm energy. In this study, we…

cs.CV2021★ 8 cited

Self-Supervised Keypoint Discovery in Behavioral Videos

Jennifer J. Sun, Serim Ryou, Roni Goldshmid +6

We propose a method for learning the posture and structure of agents from unlabelled behavioral videos. Starting from the observation that behaving agents are generally the main so…

physics.flu-dyn2021★ 16 cited

Phase-Averaged Dynamics of a Periodically Surging Wind Turbine

Nathaniel J. Wei, John O. Dabiri

The unsteady power generation of a wind turbine translating in the streamwise direction is relevant to floating offshore wind turbines, kite-mounted airborne wind turbines, and oth…

physics.flu-dyn2021★ 1 cited

Wind speed inference from environmental flow-structure interactions, part 2: leveraging unsteady kinematics

Jennifer L. Cardona, John O. Dabiri

This work explores the relationship between wind speed and time-dependent structural motion response as a means of leveraging the rich information visible in flow-structure interac…

physics.flu-dyn2021★ 104 cited

Learning Efficient Navigation in Vortical Flow Fields

Peter Gunnarson, Ioannis Mandralis, Guido Novati +2

Efficient point-to-point navigation in the presence of a background flow field is important for robotic applications such as ocean surveying. In such applications, robots may only…

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-dyn2020

Wind speed inference from environmental flow-structure interactions

Jennifer L. Cardona, Katherine L. Bouman, John O. Dabiri

This study aims to leverage the relationship between fluid dynamic loading and resulting structural deformation to infer the incident flow speed from measurements of time-dependent…