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Qiang Gao
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Year
Energy loss mechanism due to tip leakage flow of axial flow pump as turbine under various operating conditions
K Kan, Q Zhang, Z Xu, Y Zheng, Q Gao, L Shen
Energy 255, 124532, 2022
822022
Bubble production by air filament and cavity breakup in plunging breaking wave crests
Q Gao, GB Deane, L Shen
Journal of Fluid Mechanics 929 (A44), 2021
222021
A deep neural network based SMAP soil moisture product
L Gao, Q Gao, H Zhang, X Li, MJ Chaubell, A Ebtehaj, L Shen, ...
Remote Sensing of Environment 277, 113059, 2022
162022
A robust and accurate technique for Lagrangian tracking of bubbles and detecting fragmentation and coalescence.
Q Gao, GB Deane, H Liu, L Shen
International Journal of Multiphase Flow, 2020
162020
Numerical study of instability mechanism in the air-core vortex formation process
K Kan, Y Xu, Z Li, H Xu, H Chen, D Zi, Q Gao, L Shen
Engineering Applications of Computational Fluid Mechanics 17 (1), 2156926, 2023
142023
Numerical investigation of ventilated cavitating flow in the wake of a circular cylinder
Z Wang, H Liu, Q Gao, Z Wang, Y Wang, G Wang, L Shen
Physical Review Fluids 6 (6), 064303, 2021
102021
A consistent adaptive level set framework for incompressible two-phase flows with high density ratios and high Reynolds numbers
Y Zeng, H Liu, Q Gao, A Almgren, APS Bhalla, L Shen
Journal of Computational Physics 478, 111971, 2023
72023
A numerical simulation framework for bubbly flow and sound generation in laboratory-scale breaking waves
Q Gao, L Shen, GB Deane
JASA Express Letters 1 (10), 2021
32021
Air entrainment and underwater noise of breaking waves
Q Gao, G Deane, L Shen
Bulletin of the American Physical Society 63, 2018
32018
Numerical simulation of air entrainment and bubbles in wave breaking
Q Gao, L Shen
APS Division of Fluid Dynamics Meeting Abstracts, L7. 004, 2017
32017
Numerical detection of bubble creation and extinction events under a breaking wave using Optimal Network algorithm
S Basak, UC Bitencourt, Q Gao, GB Deane, MD Stokes, L Shen
76th Annual Meeting of the Division of Fluid Dynamics, 2023
2023
SMAP Soil Moisture Estimation Based on Deep Neural Networks
L Gao, Q Gao, H Zhang, X Li, M Chaubell, A Ebtehaj, L Shen, ...
AGU Fall Meeting Abstracts 2022, H12N-0860, 2022
2022
High-Fidelity Simulation and Novel Data Analysis of the Bubble Creation and Sound Generation Processes in Breaking Waves
Q Gao, GB Deane, S Basak, U Bitencourt, L Shen
34th Symposium on Naval Hydrodynamics, 2022
2022
A Deep Neural Network Based SMAP Soil Moisture Product (V1.0) [Data set]
L Gao, Q Gao, H Zhang, X Li, MJ Chaubell, A Ebtehaj, L Shen, ...
https://doi.org/10.5281/zenodo.6465043, 2022
2022
A Numerical Experiment on Wave Breaking with Oil Slick
H Liu, Q Gao, L Shen
APS Division of Fluid Dynamics, 2021
2021
Numerical and Theoretical Studies of Air Entrainment and Bubble Acoustics under Breaking Waves
Q Gao
University of Minnesota, 2021
2021
Optimal Network (ON) method-A robust and accurate technique for Lagrangian tracking of bubbles and detecting fragmentation and coalescence
Q Gao, G Deane, H Liu, L Shen
APS Division of Fluid Dynamics Meeting Abstracts, E21. 002, 2021
2021
Bubble Entrainment and Distributions under Breaking Waves
Q Gao, GB Deane, L Shen
Ocean Sciences Meeting 2020, 2020
2020
A robust and accurate technique for Lagrangian tracking of bubbles and oil drops and detecting events and supporting data
Q Gao, GB Deane, H Liu, L Shen
Distributed by: Gulf of Mexico Research Initiative Information and Data …, 2020
2020
Simulation of Bubbles under Breaking Waves based on a Coupled Resolved and Subgrid Scale Bubble Method
Q Gao, Deane, G B., L Shen
https://doi.org/10.1103/APS.DFD.2019.GFM.V0080, 2019
2019
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Articles 1–20