Polyconvex neural-network surrogates with learned paired directional features for anisotropic hyperelastic homogenization
Approximating the effective anisotropic hyperelastic response of a representative volume element (RVE) requires constitutive expressiveness, mechanical consistency, and computational efficiency. This work develops a polyconvex physics-augmented neural network (PANN) construction based on paired directional features who...
S. A. de Parga, A. Cornejo, J. A. Hernandez et al.
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