Παρακολούθηση
Qiang Gao
Qiang Gao
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα umn.edu
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
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
872022
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
182022
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
172020
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
82023
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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