Heng Xiao
Virginia Polytechnic Institute and State University
H-index: 32
North America-United States
Top articles of Heng Xiao
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Using machine learning to predict urban canopy flows for land surface modeling | Geophysical Research Letters | Yanle Lu Xu‐Hui Zhou Heng Xiao Qi Li | 2023/1/16 |
Hyper-parameter optimization for improving the performance of localization in an iterative ensemble smoother | Hao Wang Yitan Lou Thomas Bäck | 2019/6/10 | |
Physical interpretation of neural network-based nonlinear eddy viscosity models | Aerospace Science and Technology | Xin-Lei Zhang Heng Xiao Solkeun Jee Guowei He | 2023/9/17 |
Combining direct and indirect sparse data for learning generalizable turbulence models | Journal of Computational Physics | Xin-Lei Zhang Heng Xiao Xiaodong Luo Guowei He | 2023/9/15 |
An equivariant neural operator for developing nonlocal tensorial constitutive models | Journal of Computational Physics | Jiequn Han Xu-Hui Zhou Heng Xiao | 2023/9 |
First-principle-like reinforcement learning of nonlinear numerical schemes for conservation laws | arXiv preprint arXiv:2312.13260 | Hao-Chen Wang Meilin Yu Heng Xiao | 2023/12/20 |
Inference of relative permeability curves in reservoir rocks with ensemble Kalman method | The European Physical Journal E | Xu-Hui Zhou Haochen Wang James McClure Cheng Chen Heng Xiao | 2023/6 |
Neural operator-based super-fidelity: A warm-start approach for accelerating steady-state simulations | arXiv preprint arXiv:2312.11842 | Xu-Hui Zhou Jiequn Han Muhammad I Zafar Christopher J Roy Heng Xiao | 2023/12/19 |
Frame invariance and scalability of neural operators for partial differential equations | arXiv preprint arXiv:2112.14769 | Muhammad I Zafar Jiequn Han Xu-Hui Zhou Heng Xiao | 2021/12/28 |
Ensemble Kalman method for learning turbulence models from indirect observation data | Journal of Fluid Mechanics | Xin-Lei Zhang Heng Xiao Xiaodong Luo Guowei He | 2022/10 |
Assessment of regularized ensemble Kalman method for inversion of turbulence quantity fields | Heng Xiao He GW | 2022 | |
Neural network–based pore flow field prediction in porous media using super resolution | Physical Review Fluids | Xu-Hui Zhou James E McClure Cheng Chen Heng Xiao | 2022/7/12 |
Frame-independent vector-cloud neural network for nonlocal constitutive modeling on arbitrary grids | Computer Methods in Applied Mechanics and Engineering | Xu-Hui Zhou Jiequn Han Heng Xiao | 2022/1/1 |
Acoustic inversion for uncertainty reduction in Reynolds-averaged Navier–Stokes-based jet noise prediction | Heng Xiao He GW | 2022 | |
Uncertainty quantification across design space using spatially accurate polynomial chaos | AIAA Journal | John A Schaefer Andrew W Cary Mori Mani Thomas A Grandine Christopher J Roy | 2022/3 |
A PDE-free, neural network-based eddy viscosity model coupled with RANS equations | International Journal of Heat and Fluid Flow | Ruiying Xu Xu-Hui Zhou Jiequn Han Richard P Dwight Heng Xiao | 2022/12/1 |
Enforcing Imprecise Constraints on Generative Adversarial Networks for Emulating Physical Systems | Communications in Computational Physics | Yang Zeng Jin-Long Wu Heng Xiao | 2021 |
Physics-informed machine learning: case studies for weather and climate modelling | Karthik Kashinath M Mustafa Adrian Albert JL Wu C Jiang | 2021/4/5 | |
Recurrent Neural Network for End-to-End Modeling of Laminar-Turbulent Transition | Data-Centric Engineering | Muhammad I Zafar Meelan M Choudhari Pedro Paredes Heng Xiao | 2021 |
Exploring data-driven modeling of boundary layer transition | M Choudhari MR Malik J Berninger K Hausknecht K Pelin | 2021/3/1 |
