| The motion of respiratory droplets produced by coughing H Wang, Z Li, X Zhang, L Zhu, Y Liu, S Wang Physics of Fluids 32 (12), 2020 | 96 | 2020 |
| Ensemble Kalman method for learning turbulence models from indirect observation data XL Zhang, H Xiao, X Luo, G He Journal of Fluid Mechanics 949, A26, 2022 | 66 | 2022 |
| Regularized ensemble Kalman methods for inverse problems XL Zhang, C Michelén-Ströfer, H Xiao Journal of Computational Physics 416, 109517, 2020 | 62 | 2020 |
| Effects of space sizes on the dispersion of cough-generated droplets from a walking person Z Li, H Wang, X Zhang, T Wu, X Yang Physics of Fluids 32 (12), 2020 | 57 | 2020 |
| DAFI: An Open-Source Framework for Ensemble-Based Data Assimilation and Field Inversion CAM Ströfer, XL Zhang, H Xiao Communications in Computational Physics, 2020 | 38 | 2020 |
| Recent progress in augmenting turbulence models with physics-informed machine learning X Zhang, J Wu, O Coutier-Delgosha, H Xiao Journal of Hydrodynamics 31, 1153-1158, 2019 | 36 | 2019 |
| Evaluation of ensemble methods for quantifying uncertainties in steady-state CFD applications with small ensemble sizes X Zhang, H Xiao, T Gomez, O Coutier-Delgosha Computers & Fluids 203, 104530, 2020 | 34 | 2020 |
| Assimilation of disparate data for enhanced reconstruction of turbulent mean flows XL Zhang, H Xiao, GW He, SZ Wang Computers & Fluids 224, 104962, 2021 | 31 | 2021 |
| Effects of slope and speed of escalator on the dispersion of cough-generated droplets from a passenger Z Li, X Zhang, T Wu, L Zhu, J Qin, X Yang Physics of Fluids 33 (4), 2021 | 30 | 2021 |
| Compressible effects modeling for turbulent cavitating flow in a small venturi channel: An empirical turbulent eddy viscosity correction XL Zhang, MM Ge, GJ Zhang, O Coutier-Delgosha Physics of Fluids 33 (3), 2021 | 20 | 2021 |
| Artificial neural network based response surface for data-driven dimensional analysis Z Xu, X Zhang, S Wang, G He Journal of Computational Physics 459, 111145, 2022 | 18 | 2022 |
| Assessment of regularized ensemble Kalman method for inversion of turbulence quantity fields XL Zhang, H Xiao, G He Aiaa Journal 60 (1), 3-13, 2022 | 18 | 2022 |
| Enforcing boundary conditions on physical fields in Bayesian inversion CAM Ströfer, XL Zhang, H Xiao, O Coutier-Delgosha Computer Methods in Applied Mechanics and Engineering 367, 113097, 2020 | 18 | 2020 |
| Ensemble Gradient for Learning Turbulence Models from Indirect Observations CAM Ströfer, XL Zhang, H Xiao Commun. Comput. Phys. 30 (5), 1269-1289, 2021 | 17 | 2021 |
| Combining direct and indirect sparse data for learning generalizable turbulence models XL Zhang, H Xiao, X Luo, G He Journal of Computational Physics 489, 112272, 2023 | 16 | 2023 |
| Explainability analysis of neural network-based turbulence modeling for transonic axial compressor rotor flows C Wu, S Wang, XL Zhang, G He Aerospace Science and Technology 141, 108542, 2023 | 14 | 2023 |
| Learning neural-network-based turbulence models for external transonic flows using ensemble Kalman method Y Liu, XL Zhang, G He AIAA Journal, 1-15, 2023 | 14 | 2023 |
| Physical interpretation of neural network-based nonlinear eddy viscosity models XL Zhang, H Xiao, S Jee, G He Aerospace Science and Technology 142, 108632, 2023 | 12 | 2023 |
| Bayesian optimisation of RANS simulation with ensemble-based variational method in convergent-divergent channel X Zhang, T Gomez, O Coutier-Delgosha Journal of Turbulence 20 (3), 214-239, 2019 | 11 | 2019 |
| Synchrotron X-ray based particle image velocimetry to measure multiphase streamflow and densitometry M Ge, C Sun, X Zhang, O Coutier-Delgosha, G Zhang Radiation Physics and Chemistry 200, 110395, 2022 | 10 | 2022 |
Heng XiaoProfessor, University of StuttgartE-mailová adresa ověřena na: simtech.uni-stuttgart.de