F. P. van der Meer

13 papers Journal 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
A viscoplasticity model with an invariant-based non-Newtonian flow rule for unidirectional thermoplastic composites.
CoRR
Pieter Hofman, Dragan Kovacevic, F. P. van der Meer, Lambertus J. Sluys
2025 J jnl
Mixing Data-Driven and Physics-Based Constitutive Models using Uncertainty-Driven Phase Fields.
CoRR
J. Storm, W. Sun, Iuri B. C. M. Rocha, F. P. van der Meer
2025 J jnl
Surrogate-based multiscale analysis of experiments on thermoplastic composites under off-axis loading.
CoRR
Marina A. Maia, Iuri B. C. M. Rocha, Dragan Kovacevic, F. P. van der Meer
2025 J jnl
Uncertainty Quantification in Multiscale Modeling of Polymer Composite Materials Using Physically Recurrent Neural Networks.
CoRR
N. Kovács, Iuri B. C. M. Rocha, F. P. van der Meer, Carolina Furtado, Pedro P. Camanho
2024 J jnl
A Microstructure-based Graph Neural Network for Accelerating Multiscale Simulations.
CoRR
J. Storm, Iuri B. C. M. Rocha, F. P. van der Meer
2024 J jnl
Modeling of progressive high-cycle fatigue in composite laminates accounting for local stress ratios.
CoRR
Pieter Hofman, F. P. van der Meer, Lambertus J. Sluys
2024 J jnl
Physically Recurrent Neural Networks for Computational Homogenization of Composite Materials with Microscale Debonding.
CoRR
N. Kovács, Marina A. Maia, Iuri B. C. M. Rocha, Carolina Furtado, Pedro P. Camanho, F. P. van der Meer
2024 J jnl
Physically recurrent neural network for rate and path-dependent heterogeneous materials in a finite strain framework.
CoRR
Marina A. Maia, Iuri B. C. M. Rocha, Dragan Kovacevic, F. P. van der Meer
2023 J jnl
Machine learning of evolving physics-based material models for multiscale solid mechanics.
CoRR
Iuri B. C. M. Rocha, Pierre Kerfriden, F. P. van der Meer
2022 J jnl
Physically recurrent neural networks for path-dependent heterogeneous materials: embedding constitutive models in a data-driven surrogate.
CoRR
Marina A. Maia, Iuri B. C. M. Rocha, Pierre Kerfriden, F. P. van der Meer
2021 J jnl
On-the-fly construction of surrogate constitutive models for concurrent multiscale mechanical analysis through probabilistic machine learning.
J. Comput. Phys. X
Iuri B. C. M. Rocha, Pierre Kerfriden, F. P. van der Meer
2021 J jnl
Parallel Computing with the Thick Level Set Method.
SIAM J. Sci. Comput.
Luiz A. T. Mororó, F. P. van der Meer
2020 J jnl
On-the-fly construction of surrogate constitutive models for concurrent multiscale mechanical analysis through probabilistic machine learning.
CoRR
Iuri B. C. M. Rocha, Pierre Kerfriden, F. P. van der Meer
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski