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Works (12)

Deciphering Landslide Precursors From Spatiotemporal Ground Motion Using Persistent Homology

Journal of Geophysical Research: Earth Surface
2025-02 | Journal article
DOI: 10.1029/2024JF007949
Contributors: Jiangzhou Mei; Gang Ma; Chengqian Guo; Ting Wu; Jidong Zhao; Wei Zhou
Source: check_circle
Crossref

Graph neural network unveils the spatiotemporal evolution of structural defects in sheared granular materials

International Journal of Plasticity
2025-01 | Journal article
DOI: 10.1016/j.ijplas.2024.104218
Contributors: Jiangzhou Mei; Gang Ma; Wanda Cao; Ting Wu; Wei Zhou
Source: check_circle
Crossref

Knowledge Extraction via Machine Learning Guides a Topology‐Based Permeability Prediction Model

Water Resources Research
2024-07 | Journal article
DOI: 10.1029/2024WR037124
Contributors: Jia Zhang; Gang Ma; Zhibing Yang; Jiangzhou Mei; Daren Zhang; Wei Zhou; Xiaolin Chang
Source: check_circle
Crossref

Modeling shear-induced solid-liquid transition of granular materials using persistent homology

Journal of the Mechanics and Physics of Solids
2023-07 | Journal article
DOI: 10.1016/j.jmps.2023.105307
Contributors: Jiangzhou Mei; Gang Ma; Jiaying Liu; François Nicot; Wei Zhou
Source: check_circle
Crossref

Spatial clustering of microscopic dynamics governs the slip avalanche of sheared granular materials

International Journal of Plasticity
2023-04 | Journal article
DOI: 10.1016/j.ijplas.2023.103570
Contributors: Jiangzhou Mei; Gang Ma; Longwen Tang; Ke Gao; Wanda Cao; Wei Zhou
Source: check_circle
Crossref

Micro- and macroscopic aspects of the intermittent behaviors of granular materials related by graph neural network

International Journal of Solids and Structures
2022-09 | Journal article
DOI: 10.1016/j.ijsolstr.2022.111763
Part of ISSN: 0020-7683
Source: Self-asserted source
Jiangzhou Mei

Machine learning bridges microslips and slip avalanches of sheared granular gouges

Earth and Planetary Science Letters
2022-02 | Journal article
DOI: 10.1016/j.epsl.2022.117366
Part of ISSN: 0012-821X
Source: Self-asserted source
Jiangzhou Mei
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Preferred source (of 2)‎

Investigation of the grain breakage behaviour of 2D granular materials with disordered pore distribution

Computational Particle Mechanics
2021-11 | Journal article
DOI: 10.1007/s40571-020-00379-6
Part of ISSN: 2196-4378
Part of ISSN: 2196-4386
Source: Self-asserted source
Jiangzhou Mei

Machine learning reveals the influences of grain morphology on grain crushing strength

Acta Geotechnica
2021-11 | Journal article
DOI: 10.1007/s11440-021-01270-1
Part of ISSN: 1861-1125
Part of ISSN: 1861-1133
Source: Self-asserted source
Jiangzhou Mei

Microscopic origin of shape-dependent shear strength of granular materials: a granular dynamics perspective

Acta Geotechnica
2021-11-09 | Journal article
DOI: 10.1007/s11440-021-01403-6
Part of ISSN: 1861-1125
Part of ISSN: 1861-1133
Source: Self-asserted source
Jiangzhou Mei

颗粒断层泥粘滑运动的研究进展

SCIENTIA SINICA Technologica
2021-09-01 | Journal article
DOI: 10.1360/sst-2021-0286
Part of ISSN: 1674-7259
Source: Self-asserted source
Jiangzhou Mei

Machine learning bridges microslips and slip avalanches of sheared granular gouge

2021-02-28 | Preprint
DOI: 10.1002/essoar.10506338.1
Contributors: Gang Ma; Jiangzhou Mei; Ke Gao; Jidong Zhao; Wei Zhou; Di Wang
Source: check_circle
Crossref
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