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 | 121 | 2022 |
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 | 32 | 2022 |
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 | 30 | 2021 |
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 | 25 | 2023 |
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 | 22 | 2020 |
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 | 13 | 2023 |
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 | 13 | 2021 |
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 | 4 | 2021 |
Air entrainment and underwater noise of breaking waves Q Gao, G Deane, L Shen Bulletin of the American Physical Society 63, 2018 | 3 | 2018 |
Numerical simulation of air entrainment and bubbles in wave breaking Q Gao, L Shen APS Division of Fluid Dynamics Meeting Abstracts, L7. 004, 2017 | 3 | 2017 |
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 |