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MeshGraphNet-Transformer: Scalable Mesh-based Learned Simulation for Solid Mechanics

Iparraguirre, Mikel M. et al.
arXiv (All) · Papers
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machine-learning
We present MeshGraphNet-Transformer (MGN-T), a novel architecture that combines the global modeling capabilities of Transformers with the geometric inductive bias of MeshGraphNets, while preserving a mesh-based graph representation. MGN-T overcomes a key limitation of standard MGN, the inefficient l
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