On-the-fly construction of surrogate constitutive models for concurrent multiscale mechanical analysis through probabilistic machine learning. - Iuri B. C. M. Rocha; Pierre Kerfriden; F. P. van der Meer 001 (J. Comput. Phys. X, 2021)

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)

Machine learning of evolving physics-based material models for multiscale solid mechanics. - Iuri B. C. M. Rocha; Pierre Kerfriden; F. P. van der Meer 001 (CoRR, 2023)

A Bayesian Approach to Modeling Finite Element Discretization Error. - Anne Poot; Pierre Kerfriden; Iuri Rocha; rans Paul van der Meer (CoRR, 2023)

A Microstructure-based Graph Neural Network for Accelerating Multiscale Simulations. - J. Storm; Iuri B. C. M. Rocha; F. P. van der Meer 001 (CoRR, 2024)

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)

A Bayesian approach to modeling finite element discretization error. - Anne Poot; Pierre Kerfriden; Iuri Rocha; Frans Paul van der Meer (Stat. Comput., 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)

Effects of Interpolation Error and Bias on the Random Mesh Finite Element Method for Inverse Problems. - Anne Poot; Iuri Rocha; Pierre Kerfriden; Frans van der Meer (CoRR, 2025)

Uncertainty Quantification in Multiscale Modeling of Polymer Composite Materials Using Physically Recurrent Neural Networks. - N. Kovács; Iuri B. C. M. Rocha; F. P. van der Meer 001; C. Furtado; Pedro P. Camanho (CoRR, 2025)

Mixing Data-Driven and Physics-Based Constitutive Models using Uncertainty-Driven Phase Fields. - J. Storm; W. Sun; Iuri B. C. M. Rocha; F. P. van der Meer 001 (CoRR, 2025)

The Bayesian Finite Element Method in Inverse Problems: a Critical Comparison between Probabilistic Models for Discretization Error. - Anne Poot; Iuri Rocha; Pierre Kerfriden; Frans van der Meeer (CoRR, 2025)