Graph neural network for colliding particles with an application to sea ice floe modeling

arXiv:2602.16213v1 Announce Type: cross Abstract: This paper introduces a novel approach to sea ice modeling using Graph Neural Networks (GNNs), utilizing the natural graph structure of sea ice, where nodes represent individual ice pieces, and edges model the physical interact...

🔗 Read more: https://arxiv.org/abs/2602.16213

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