| Machine learning assisted fast prediction of inertial lift in microchannels J Su, X Chen, Y Zhu, G Hu Lab on a Chip 21 (13), 2544-2556, 2021 | 42 | 2021 |
| Physics-informed neural networks for incompressible flows with moving boundaries Y Zhu, W Kong, J Deng, X Bian Physics of Fluids 36 (1), 2024 | 21 | 2024 |
| Interfacial behavior of phospholipid monolayers revealed by mesoscopic simulation Y Zhu, X Bai, G Hu Biophysical Journal 120 (21), 4751-4762, 2021 | 14 | 2021 |
| An unstructured adaptive mesh refinement for steady flows based on physics-informed neural networks Y Zhu, S Zhao, Y Zhou, H Liang, X Bian Journal of Computational Physics, 114283, 2025 | 11 | 2025 |
| Physics-informed neural networks for hidden boundary detection and flow field reconstruction Y Zhu, W Chen, J Deng, X Bian arXiv preprint arXiv:2503.24074, 2025 | 5 | 2025 |
| Physics-informed neural networks for unsteady incompressible flows with time-dependent moving boundaries Y Zhu, W Kong, J Deng, X Bian arXiv preprint arXiv:2308.13219, 2023 | 1 | 2023 |
| A mesoscale model for quantitative phospholipid monolayer simulations at the air-water interface Y Zhu, X Bai, G Hu arXiv preprint arXiv:2103.15315, 2021 | | 2021 |
Guoqing HuDepartment of Engineering Mechanics, Zhejiang UniversityVerified email at zju.edu.cn
