Author

S. A. de Parga

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#machine learning Preprint Oct 2026

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. · 0 citations

Preprint Sep 2026

Dimensional hyperreduction of nonlinear finite element models via empirical cubature with manifold-adaptive weights

Nonlinear-manifold reduced-order models for parametrized finite element problems can achieve substantial compression both in the number of generalized (latent) coordinates and, through sampling-and-weighting hyperreduction, in the number of sampled elements/integration points. Yet current sampling-and-weighting approac...

J. A. Hernández, S. A. de Parga, R. Rossi · 1 citation