| Microscopic origin of shape-dependent shear strength of granular materials: a granular dynamics perspective Y Zou, G Ma, J Mei, J Zhao, W Zhou Acta Geotechnica, 1-14, 2022 | 32 | 2022 |
| Machine learning reveals the influences of grain morphology on grain crushing strength Y Wang, G Ma, J Mei, Y Zou, D Zhang, W Zhou, X Cao Acta Geotechnica 16 (11), 3617-3630, 2021 | 30 | 2021 |
| Machine learning bridges microslips and slip avalanches of sheared granular gouges G Ma, J Mei, K Gao, J Zhao, W Zhou, D Wang Earth and Planetary Science Letters 579, 117366, 2022 | 20 | 2022 |
| Spatial clustering of microscopic dynamics governs the slip avalanche of sheared granular materials J Mei, G Ma, L Tang, K Gao, W Cao, W Zhou International Journal of Plasticity 163, 103570, 2023 | 15 | 2023 |
| Modeling shear-induced solid-liquid transition of granular materials using persistent homology J Mei, G Ma, J Liu, F Nicot, W Zhou Journal of the Mechanics and Physics of Solids 176, 105307, 2023 | 12 | 2023 |
| Micro-and macroscopic aspects of the intermittent behaviors of granular materials related by graph neural network J Mei, G Ma, Q Wang, T Wu, W Zhou International Journal of Solids and Structures 251, 111763, 2022 | 10 | 2022 |
| Investigation of the grain breakage behaviour of 2D granular materials with disordered pore distribution Q Huang, W Zhou, G Ma, J Mei, K Xu Computational Particle Mechanics 8, 1033-1045, 2021 | 7 | 2021 |
| A network-based investigation on static liquefaction of sheared granular materials W Cao, J Mei, X Yang, W Zhou, X Chang, G Ma Granular Matter 26 (3), 60, 2024 | 2 | 2024 |
| Graph neural network unveils the spatiotemporal evolution of structural defects in sheared granular materials J Mei, G Ma, W Cao, T Wu, W Zhou International Journal of Plasticity 184, 104218, 2025 | 1 | 2025 |
| Leveraging FDEM simulations of rockfill materials for an improved constitutive model considering hysteretic behavior J Hu, G Ma, J Wang, J Mei, K Xiong, W Zhou, Q Yang Computers and Geotechnics 174, 106662, 2024 | 1 | 2024 |
| Machine learning bridges microslips and slip avalanches of sheared granular gouge G Ma, J Mei, K Gao, J Zhao, W Zhou, D Wang Authorea Preprints, 2022 | 1 | 2022 |
| Deciphering Landslide Precursors From Spatiotemporal Ground Motion Using Persistent Homology J Mei, G Ma, C Guo, T Wu, J Zhao, W Zhou Journal of Geophysical Research: Earth Surface 130 (2), e2024JF007949, 2025 | | 2025 |
| Knowledge extraction via machine learning guides a topology‐based permeability prediction model J Zhang, G Ma, Z Yang, J Mei, D Zhang, W Zhou, X Chang Water Resources Research 60 (7), e2024WR037124, 2024 | | 2024 |
Gang Ma 马刚Professor, Wuhan Universitywhu.edu.cn의 이메일 확인됨
