Zexia Zhang

Beijing Institute of Technology — China

Environmental Science · Physical Sciences

14h-index731citations49works1.62yr avg
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Research Topics

Hydrology and Sediment Transport Processes(7), Wind Energy Research and Development(7), Graphene research and applications(6), Hydrology and Watershed Management Studies(6), Fluid Dynamics and Vibration Analysis(6)

Publications49 total

Highly efficient and free-standing WS <sub>2</sub> /C electrocatalyst for solar-cell-driven hydrogen evolution reaction
Journal of Materials Chemistry A·2025· 1 cited
Model-based alignment method for segmented space telescopes using extended beacon
2025
Dynamic range expansion algorithms for Shack-Hartmann wavefront sensor in aspheric lens surface quality assessment
2025
Predicting Equilibrium Bed Morphology of Large‐Scale Meandering Rivers Using a Novel LES‐Trained Machine Learning Approach
Journal of Advances in Modeling Earth Systems·2025· 1 citedOpen Access
Adaptive Multitask Neural Network for High-Fidelity Wake Flow Modeling of Wind Farms
Energies·2025Open Access
Model-based tip-tilt correction for segmented mirror of space telescope using extended beacon
Optics & Laser Technology·2025
A deep-learning approach for 3D realization of mean wake flow of marine hydrokinetic turbine arrays
Energy Reports·2024· 4 citedOpen Access
Toward ultra-efficient high-fidelity prediction of bed morphodynamics of large-scale meandering rivers using a novel LES-trained machine learning approach
arXiv (Cornell University)·2024· 1 citedOpen Access
Toward ultra-efficient high-fidelity predictions of wind turbine wakes: Augmenting the accuracy of engineering models with machine learning
Physics of Fluids·2024· 10 citedOpen Access
Field-balancing alignment of the secondary mirror of space telescope using a self-calibrated model
Optics Communications·2024
Toward ultra-efficient high fidelity predictions of wind turbine wakes: Augmenting the accuracy of engineering models via LES-trained machine learning
arXiv (Cornell University)·2024Open Access
Predicting turbulent wake flow of marine hydrokinetic turbine arrays in large-scale waterways via physics-enhanced convolutional neural networks
Physics of Fluids·2024· 5 cited
Model-Based Tip-Tilt Correction for Segmented Mirror of Space Telescope Using Extended Beacon
SSRN Electronic Journal·2024Open Access
Model-Based Tip-Tilt Correction for Segmented Mirror of Space Telescope Using Extended Beacon
SSRN Electronic Journal·2024Open Access
A data-driven machine learning approach for yaw control applications of wind farms
Theoretical and Applied Mechanics Letters·2023· 8 citedOpen Access
Model-based large-dynamic iterative piston correction using extended objects
Optics Letters·2023· 8 cited
Toward prediction of turbulent atmospheric flows over propagating oceanic waves via machine-learning augmented large-eddy simulation
Ocean Engineering·2023· 13 citedOpen Access
On the Morphodynamics of a Wide Class of Large‐Scale Meandering Rivers: Insights Gained by Coupling LES With Sediment‐Dynamics
Journal of Advances in Modeling Earth Systems·2023· 25 citedOpen Access
Virtual Flow Solver - Geophysics: A 3D Incompressible Navier-Stokes Solver
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)·2023Open Access
Model-based fine phasing of segmented mirror using Chebyshev segmented piston-tip-tilt modes
Optics Letters·2022· 5 cited
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Frequent Co-authors

Ali Khosronejad(23), Fotis Sotiropoulos(15), Christian Santoni(11), Seokkoo Kang(8), Bing Dong(8), Feiyu Kang(6), Ajay B. Limaye(6), Ruitao Lv(5), Hongwei Zhu(5), Kevin Flora(5), Zheng‐Hong Huang(4), Xin Gan(4), Xiaolei Yang(4), Kunlin Wang(3), Dehai Wu(3), Mauricio Terrones(3), Jinping He(3), Guoliang Tian(3), Tongxiang Cui(2), Yi Jia(2)