| Learning nonlocal constitutive models with neural networks XH Zhou, J Han, H Xiao Computer Methods in Applied Mechanics and Engineering 384, 113927, 2021 | 37 | 2021 |
| Frame-independent vector-cloud neural network for nonlocal constitutive modeling on arbitrary grids XH Zhou, J Han, H Xiao Computer Methods in Applied Mechanics and Engineering 388, 114211, 2022 | 28 | 2022 |
| Neural network–based pore flow field prediction in porous media using super resolution XH Zhou, JE McClure, C Chen, H Xiao Physical Review Fluids 7 (7), 074302, 2022 | 19 | 2022 |
| An Equivariant Neural Operator for Developing Nonlocal Tensorial Constitutive Models J Han, XH Zhou, H Xiao Journal of Computational Physics 488, 112243, 2023 | 11* | 2023 |
| Using machine learning to predict urban canopy flows for land surface modeling Y Lu, XH Zhou, H Xiao, Q Li Geophysical Research Letters 50 (1), e2022GL102313, 2023 | 6 | 2023 |
| A PDE-free, neural network-based eddy viscosity model coupled with RANS equations R Xu, XH Zhou, J Han, RP Dwight, H Xiao International Journal of Heat and Fluid Flow 98, 109051, 2022 | 5 | 2022 |
| Frame invariance and scalability of neural operators for partial differential equations MI Zafar, J Han, XH Zhou, H Xiao Communications in Computational Physics 32 (2), 336-363, 2022 | 4 | 2022 |
| Inference of relative permeability curves in reservoir rocks with ensemble Kalman method XH Zhou, H Wang, J McClure, C Chen, H Xiao The European Physical Journal E 46 (6), 44, 2023 | 3 | 2023 |
| Neural operator-based super-fidelity: A warm-start approach for accelerating steady-state simulations XH Zhou, J Han, MI Zafar, CJ Roy, H Xiao arXiv preprint arXiv:2312.11842, 2023 | | 2023 |
| Neural operator-based super-fidelity: A warm-start approach for accelerating steady-state fluid flow simulations X Zhou, J Han, MI Zafar, C Roy, H Xiao Bulletin of the American Physical Society, 2023 | | 2023 |
| Using Machine Learning Approach to Predict Urban Canopy Flows for Urban Land Surface Modeling Y Lu, X Zhou, H Xiao, Q Li AGU Fall Meeting Abstracts 2022, GC35E-04, 2022 | | 2022 |
| Super resolution-assisted pore flow field prediction using neural networks XH Zhou, J McClure, C Chen, H Xiao Bulletin of the American Physical Society 67, 2022 | | 2022 |
| Frame invariance and scalability of vector cloud neural network for partial differential equations MI Zafar, J Han, XH Zhou, H Xiao Bulletin of the American Physical Society 67, 2022 | | 2022 |
Heng XiaoProfessor, University of StuttgartVerified email at simtech.uni-stuttgart.de
