A hyper-network of neural ODEs learns a spatially varying, physically constrained material model directly from full-field deformation data.
Sack, Magnetic resonance elastography from fundamental soft-tissue mechanics to diagnostic imaging, Nature Reviews Physics 5 (1) (2023) 25–42
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Fully data-driven inverse hyperelasticity with hyper-network neural ODE fields
A hyper-network of neural ODEs learns a spatially varying, physically constrained material model directly from full-field deformation data.