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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Bibliographic Details
Published inInternational journal of plasticity Vol. 184; p. 104218
Main Authors Mei, Jiangzhou, Ma, Gang, Cao, Wanda, Wu, Ting, Zhou, Wei
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.01.2025
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