Non-local physics-informed neural networks for forward and inverse solutions of granular flows

arXiv:2602.16081v1 Announce Type: cross Abstract: Dense granular flows exhibit nonlocal effects due to stress transmission in microplastic events, especially in quasi-static or slowly sheared regions. Hence, traditional local rheological models fail to capture spatial cooperat...

🔗 Read more: https://arxiv.org/abs/2602.16081

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