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ORCIDPierre Kerfriden
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2020 – today
- 2024
[j12]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)- [i19]Abhishek Palchoudhary, Simone Peter, Vincent Maurel, Cristian Ovalle, Pierre Kerfriden:
A plastic correction algorithm for full-field elasto-plastic finite element simulations : critical assessment of predictive capabilities and improvement by machine learning. CoRR abs/2402.06313 (2024) - [i18]Abhishek Palchoudhary, Cristian Ovalle, Vincent Maurel, Pierre Kerfriden:
A multi-scale probabilistic methodology to predict high-cycle fatigue lifetime for alloys with process-induced pores. CoRR abs/2409.16565 (2024) - 2023
- [j11]Evan John Ricketts, Peter John Cleall, Tony Jefferson, Pierre Kerfriden, Paul Lyons:
Near-boundary error reduction with an optimized weighted Dirichlet-Neumann boundary condition for stochastic PDE-based Gaussian random field generators. Eng. Comput. 39(6): 3821-3833 (2023) - [j10]Antoine Perney, Stéphane P. A. Bordas, Pierre Kerfriden:
NURBS-based surface generation from 3D images: spectral construction and data-driven model selection. J. Comput. Des. Eng. 10(4): 1856-1867 (2023) - [i17]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) - [i16]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
- [i15]Ehsan Mikaeili, Susanne Claus, Pierre Kerfriden:
A novel hierarchical multiresolution framework using CutFEM. CoRR abs/2201.04698 (2022) - [i14]Vasilis Krokos, Stéphane P. A. Bordas, Pierre Kerfriden:
A Graph-based probabilistic geometric deep learning framework with online physics-based corrections to predict the criticality of defects in porous materials. CoRR abs/2205.06562 (2022) - [i13]M. 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
- [j9]Matthew S. Bonney, Richard Evans, James Rouse, Arthur Jones, Pierre Kerfriden, Maxime Hamadi:
Goal oriented error estimation in multi-scale shell element finite element problems. Adv. Model. Simul. Eng. Sci. 8(1): 3 (2021) - [j8]Susanne Claus, Pierre Kerfriden, Faezeh Moshfeghifar, Sune Darkner, Kenny Erleben, Christian Wong:
Contact modeling from images using cut finite element solvers. Adv. Model. Simul. Eng. Sci. 8(1): 13 (2021) - [j7]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) - [i12]Aurèle Goetz, Ali Riza Durmaz, Martin Müller, Akhil Thomas, Dominik Britz, Pierre Kerfriden, Chris Eberl:
Addressing materials' microstructure diversity using transfer learning. CoRR abs/2107.13841 (2021) - [i11]Ehsan Mikaeili, Susanne Claus, Pierre Kerfriden:
A mixed concurrent multiscale method via CutFEM technology. CoRR abs/2111.03199 (2021) - 2020
- [j6]Pierre Kerfriden, Susanne Claus, Iulia Mihai:
A mixed-dimensional CutFEM methodology for the simulation of fibre-reinforced composites. Adv. Model. Simul. Eng. Sci. 7(1): 18 (2020) - [j5]Anthony Surleraux, Romain Lepert, Jean-Philippe Pernot, Pierre Kerfriden, Samuel Bigot:
Machine Learning-Based Reverse Modeling Approach for Rapid Tool Shape Optimization in Die-Sinking Micro Electro Discharge Machining. J. Comput. Inf. Sci. Eng. 20(3) (2020) - [c1]Chao Liu, Léopold Le Roux, Ze Ji, Pierre Kerfriden, Franck Lacan, Samuel Bigot:
Machine Learning-enabled feedback loops for metal powder bed fusion additive manufacturing. KES 2020: 2586-2595 - [i10]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) - [i9]Vasilis Krokos, Viet Bui Xuan, Stéphane P. A. Bordas, Philippe Young, Pierre Kerfriden:
Bayesian Convolutional Neural Networks as probabilistic surrogates for the fast prediction of stress fields in structures with microscale features. CoRR abs/2012.11330 (2020)
2010 – 2019
- 2018
- [j4]Navid Rahimi, Pierre Kerfriden, Frank C. Langbein, Ralph R. Martin:
CAD Model Simplification Error Estimation for Electrostatics Problems. SIAM J. Sci. Comput. 40(1) (2018) - [j3]Susanne Claus, Samuel Bigot, Pierre Kerfriden:
CutFEM Method for Stefan-Signorini Problems with Application in Pulsed Laser Ablation. SIAM J. Sci. Comput. 40(5): B1444-B1469 (2018) - [i8]Susanne Claus, Pierre Kerfriden:
A CutFEM method for two-phase flow problems. CoRR abs/1806.10156 (2018) - 2017
- [i7]Susanne Claus, Pierre Kerfriden:
A stable and optimally convergent LaTIn-Cut Finite Element Method for multiple unilateral contact problems. CoRR abs/1704.01977 (2017) - 2014
- [j2]Vinh Phu Nguyen, Pierre Kerfriden, Stéphane P. A. Bordas, Timon Rabczuk:
Isogeometric analysis suitable trivariate NURBS representation of composite panels with a new offset algorithm. Comput. Aided Des. 55: 49-63 (2014) - [j1]Hadrien Courtecuisse, Jérémie Allard, Pierre Kerfriden, Stéphane P. A. Bordas, Stephane Cotin, Christian Duriez:
Real-time simulation of contact and cutting of heterogeneous soft-tissues. Medical Image Anal. 18(2): 394-410 (2014) - 2013
- [i6]Pierre Kerfriden, Juan José Ródenas García, Stéphane Pierre-Alain Bordas:
Certification of projection-based reduced order modelling in computational homogenisation by the Constitutive Relation Error. CoRR abs/1301.6330 (2013) - [i5]Olivier Allix, Pierre Gosselet, Pierre Kerfriden, Karin Saavedra:
Virtual Delamination Testing through Non-Linear Multi-Scale Computational Methods: Some Recent Progress. CoRR abs/1304.6996 (2013) - [i4]Vinh Phu Nguyen, Pierre Kerfriden, Stéphane P. A. Bordas:
Isogeometric cohesive elements for two and three dimensional composite delamination analysis. CoRR abs/1305.2738 (2013) - [i3]Octavio Andrés González-Estrada, Juan José Ródenas García, Stéphane P. A. Bordas, Enrique Nadal, Pierre Kerfriden, Francisco Javier Fuenmayor Fernández:
Locally equilibrated stress recovery for goal oriented error estimation in the extended finite element method. CoRR abs/1308.1941 (2013) - 2011
- [i2]Olivier Allix, Pierre Kerfriden, Pierre Gosselet:
On the control of the load increments for a proper description of multiple delamination in a domain decomposition framework. CoRR abs/1109.5913 (2011) - [i1]Octavio A. González-Estrada, Juan José Ródenas, Stéphane P. A. Bordas, Marc Duflot, Pierre Kerfriden, Eugenio Giner:
On the role of enrichment and statical admissibility of recovered fields in a-posteriori error estimation for enriched finite element methods. CoRR abs/1112.2160 (2011)
Coauthor Index
aka: Stéphane Pierre-Alain Bordas
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