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 | 26 | 2021 |
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 | 24 | 2022 |
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 | 16 | 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 | 9 | 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 | 8 | 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 | 6 | 2021 |
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 | 3 | 2023 |
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 |
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), 1-15, 2024 | | 2024 |