A latent-conditioned neural constitutive model, shared across multiple materials, recovers material behavior from observed trajectories via differentiable latent optimization.
Combining differentiable pde solvers and graph neu- ral networks for fluid flow prediction
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UniPhy: Learning a Unified Constitutive Model for Inverse Physics Simulation
A latent-conditioned neural constitutive model, shared across multiple materials, recovers material behavior from observed trajectories via differentiable latent optimization.