Graph neural network unveils the spatiotemporal evolution of structural defects in sheared granular materials
•Graph neural network quantitatively connects particle-scale structure and dynamics.•A metric called susceptibility is derived to quantify the fragility of local structures.•Structural defects with high susceptibility tend to form clusters in space.•Macroscopic yielding is the consequence of system-...
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Published in | International journal of plasticity Vol. 184; p. 104218 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.01.2025
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Subjects | |
Online Access | Get full text |
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