Physically recurrent neural networks for path-dependent heterogeneous materials: embedding constitutive models in a data-driven surrogate. - Marina A. Maia; Iuri B. C. M. Rocha; Pierre Kerfriden; F. P. van der Meer 001 (CoRR, 2022)

Physically recurrent neural network for rate and path-dependent heterogeneous materials in a finite strain framework. - Marina A. Maia; Iuri B. C. M. Rocha; Dragan Kovacevic; F. P. van der Meer 001 (CoRR, 2024)

Physically Recurrent Neural Networks for Computational Homogenization of Composite Materials with Microscale Debonding. - N. Kovács; Marina A. Maia; Iuri B. C. M. Rocha; C. Furtado; Pedro P. Camanho; F. P. van der Meer 001 (CoRR, 2024)

Surrogate-based multiscale analysis of experiments on thermoplastic composites under off-axis loading. - Marina A. Maia; Iuri B. C. M. Rocha; Dragan Kovacevic; F. P. van der Meer 001 (CoRR, 2025)

Multiscale Analysis of Woven Composites Using Hierarchical Physically Recurrent Neural Networks. - Ehsan Ghane; Marina A. Maia; Iuri B. C. M. Rocha; Martin Fagerström; Mohsen Mirakhalaf (CoRR, 2025)