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Graph Neural Operator

model1 events
papersSEP 10 04:00 UTC

Graph Neural Operator Surrogate Predicts Stress Tensor Fields in Concrete Penetration

Researchers have developed a graph neural operator that estimates full mid-plane stress tensor fields in concrete during projectile penetration, connecting the material's mesoscale structure to complete field-level predictions. The surrogate was trained on data from a detailed aggregate-resolved LS-DYNA simulation and is designed to generalize across different impact velocities, offering a faster stand-in for expensive finite-element computations.

graph-neural-networks/surrogate-models/simulation/materials-science