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ORCIDIuri B. C. M. Rocha
2020 – today
- 2025
[i12]Marina A. Maia, Iuri B. C. M. Rocha, Dragan Kovacevic, F. P. van der Meer:
Surrogate-based multiscale analysis of experiments on thermoplastic composites under off-axis loading. CoRR abs/2501.10193 (2025)- [i11]Ehsan Ghane, Marina A. Maia, Iuri B. C. M. Rocha, Martin Fagerström, Mohsen Mirakhalaf:
Multiscale Analysis of Woven Composites Using Hierarchical Physically Recurrent Neural Networks. CoRR abs/2503.04901 (2025) - [i10]Anne Poot
, Iuri Rocha, Pierre Kerfriden, Frans van der Meer:
Effects of Interpolation Error and Bias on the Random Mesh Finite Element Method for Inverse Problems. CoRR abs/2504.03393 (2025) - [i9]N. Kovács, Iuri B. C. M. Rocha, F. P. van der Meer, C. Furtado, Pedro P. Camanho:
Uncertainty Quantification in Multiscale Modeling of Polymer Composite Materials Using Physically Recurrent Neural Networks. CoRR abs/2504.11625 (2025) - [i8]J. Storm, W. Sun, Iuri B. C. M. Rocha, F. P. van der Meer:
Mixing Data-Driven and Physics-Based Constitutive Models using Uncertainty-Driven Phase Fields. CoRR abs/2504.16713 (2025) - 2024
- [j2]Anne Poot, Pierre Kerfriden, Iuri Rocha, Frans Paul van der Meer:
A Bayesian approach to modeling finite element discretization error. Stat. Comput. 34(5): 167 (2024) - [i7]J. Storm, Iuri B. C. M. Rocha, F. P. van der Meer:
A Microstructure-based Graph Neural Network for Accelerating Multiscale Simulations. CoRR abs/2402.13101 (2024) - [i6]Marina A. Maia, Iuri B. C. M. Rocha, Dragan Kovacevic, F. P. van der Meer:
Physically recurrent neural network for rate and path-dependent heterogeneous materials in a finite strain framework. CoRR abs/2404.17583 (2024) - [i5]N. Kovács, Marina A. Maia, Iuri B. C. M. Rocha, C. Furtado, Pedro P. Camanho, F. P. van der Meer:
Physically Recurrent Neural Networks for Computational Homogenization of Composite Materials with Microscale Debonding. CoRR abs/2410.13774 (2024) - 2023
- [i4]Iuri B. C. M. Rocha, Pierre Kerfriden, F. P. van der Meer:
Machine learning of evolving physics-based material models for multiscale solid mechanics. CoRR abs/2301.13547 (2023) - [i3]Anne Poot, Pierre Kerfriden, Iuri Rocha, rans Paul van der Meer:
A Bayesian Approach to Modeling Finite Element Discretization Error. CoRR abs/2306.05993 (2023) - 2022
- [i2]Marina A. Maia, Iuri B. C. M. Rocha, Pierre Kerfriden, F. P. van der Meer:
Physically recurrent neural networks for path-dependent heterogeneous materials: embedding constitutive models in a data-driven surrogate. CoRR abs/2209.07320 (2022) - 2021
- [j1]Iuri B. C. M. Rocha, Pierre Kerfriden, F. P. van der Meer:
On-the-fly construction of surrogate constitutive models for concurrent multiscale mechanical analysis through probabilistic machine learning. J. Comput. Phys. X 9: 100083 (2021) - 2020
- [i1]Iuri B. C. M. Rocha, Pierre Kerfriden, F. P. van der Meer:
On-the-fly construction of surrogate constitutive models for concurrent multiscale mechanical analysis through probabilistic machine learning. CoRR abs/2007.07749 (2020)
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