| Modeling density-driven flow in porous media by physics-informed neural networks for CO2 sequestration H Du, Z Zhao, H Cheng, J Yan, QZ He Computers and Geotechnics 159, 105433, 2023 | 21 | 2023 |
| A unified reproducing kernel gradient smoothing Galerkin meshfree approach to strain gradient elasticity H Du, J Wu, D Wang, J Chen Computational Mechanics 70 (1), 73-100, 2022 | 14 | 2022 |
| A finite element collocation method with smoothed nodal gradients F Liheng, W Dongdong, L Yuxiang, D Honghui Chinese Journal of Theoretical and Applied Mechanics 53 (2), 467-481, 2021 | 10 | 2021 |
| Neural-Integrated Meshfree (NIM) Method: A differentiable programming-based hybrid solver for computational mechanics H Du, QZ He Computer Methods in Applied Mechanics and Engineering 427, 117024, 2024 | 2 | 2024 |
| Differentiable Neural-Integrated Meshfree Method for Forward and Inverse Modeling of Finite Strain Hyperelasticity H Du, B Guo, QZ He arXiv preprint arXiv:2407.11183, 2024 | | 2024 |
| Physics-informed hybrid learning for subsurface transport and its application to geological sequestration Q He, H Du, Z Lin AGU Fall Meeting Abstracts 2023, H31H-08, 2023 | | 2023 |
