On the control of the load increments for a proper description of multiple delamination in a domain decomposition framework - Olivier Allix; Pierre Kerfriden; Pierre Gosselet (CoRR, 2011)

On the role of enrichment and statical admissibility of recovered fields in a-posteriori error estimation for enriched finite element methods. - Octavio A. González-Estrada; Juan José Ródenas; Stéphane P. A. Bordas; Marc Duflot; Pierre Kerfriden; Eugenio Giner (CoRR, 2011)

Locally equilibrated stress recovery for goal oriented error estimation in the extended finite element method. - Octavio Andrés González-Estrada; Juan José Ródenas García; Stéphane P. A. Bordas; Enrique Nadal; Pierre Kerfriden; Francisco Javier Fuenmayor Fernández (CoRR, 2013)

Certification of projection-based reduced order modelling in computational homogenisation by the Constitutive Relation Error - Pierre Kerfriden; Juan José Ródenas García; Stéphane Pierre-Alain Bordas (CoRR, 2013)

Virtual Delamination Testing through Non-Linear Multi-Scale Computational Methods: Some Recent Progress - Olivier Allix; Pierre Gosselet; Pierre Kerfriden; Karin Saavedra (CoRR, 2013)

Isogeometric cohesive elements for two and three dimensional composite delamination analysis - Vinh Phu Nguyen; Pierre Kerfriden; Stéphane P. A. Bordas (CoRR, 2013)

Isogeometric analysis suitable trivariate NURBS representation of composite panels with a new offset algorithm. - Vinh Phu Nguyen; Pierre Kerfriden; Stéphane P. A. Bordas; Timon Rabczuk (Comput. Aided Des., 2014)

Real-time simulation of contact and cutting of heterogeneous soft-tissues. - Hadrien Courtecuisse; Jérémie Allard; Pierre Kerfriden; Stéphane P. A. Bordas; Stephane Cotin; Christian Duriez (Medical Image Anal., 2014)

A stable and optimally convergent LaTIn-Cut Finite Element Method for multiple unilateral contact problems. - Susanne Claus; Pierre Kerfriden (CoRR, 2017)

A CutFEM method for two-phase flow problems. - Susanne Claus; Pierre Kerfriden (CoRR, 2018)

CutFEM Method for Stefan-Signorini Problems with Application in Pulsed Laser Ablation. - Susanne Claus; Samuel Bigot; Pierre Kerfriden (SIAM J. Sci. Comput., 2018)

CAD Model Simplification Error Estimation for Electrostatics Problems. - Navid Rahimi; Pierre Kerfriden; Frank C. Langbein; Ralph R. Martin (SIAM J. Sci. Comput., 2018)

Machine Learning-enabled feedback loops for metal powder bed fusion additive manufacturing. - Chao Liu 031; Léopold Le Roux; Ze Ji; Pierre Kerfriden; Franck Lacan; Samuel Bigot (KES, 2020)

A mixed-dimensional CutFEM methodology for the simulation of fibre-reinforced composites. - Pierre Kerfriden; Susanne Claus; Iulia Mihai (Adv. Model. Simul. Eng. Sci., 2020)

Bayesian Convolutional Neural Networks as probabilistic surrogates for the fast prediction of stress fields in structures with microscale features. - Vasilis Krokos; Viet Bui Xuan; Stéphane P. A. Bordas; Philippe Young; Pierre Kerfriden (CoRR, 2020)

Machine Learning-Based Reverse Modeling Approach for Rapid Tool Shape Optimization in Die-Sinking Micro Electro Discharge Machining. - Anthony Surleraux; Romain Lepert; Jean-Philippe Pernot; Pierre Kerfriden; Samuel Bigot (J. Comput. Inf. Sci. Eng., 2020)

Goal oriented error estimation in multi-scale shell element finite element problems. - Matthew S. Bonney; Richard Evans; James Rouse; Arthur Jones; Pierre Kerfriden; Maxime Hamadi (Adv. Model. Simul. Eng. Sci., 2021)

Contact modeling from images using cut finite element solvers. - Susanne Claus; Pierre Kerfriden; Faezeh Moshfeghifar; Sune Darkner; Kenny Erleben; Christian Wong (Adv. Model. Simul. Eng. Sci., 2021)

Addressing materials' microstructure diversity using transfer learning. - Aurèle Goetz; Ali Riza Durmaz; Martin Müller; Akhil Thomas; Dominik Britz; Pierre Kerfriden; Chris Eberl (CoRR, 2021)

A mixed concurrent multiscale method via CutFEM technology. - Ehsan Mikaeili; Susanne Claus; Pierre Kerfriden (CoRR, 2021)

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)

A novel hierarchical multiresolution framework using CutFEM. - Ehsan Mikaeili; Susanne Claus; Pierre Kerfriden (CoRR, 2022)

A Graph-based probabilistic geometric deep learning framework with online physics-based corrections to predict the criticality of defects in porous materials. - Vasilis Krokos; Stéphane P. A. Bordas; Pierre Kerfriden (CoRR, 2022)

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)

NURBS-based surface generation from 3D images: spectral construction and data-driven model selection. - Antoine Perney; Stéphane P. A. Bordas; Pierre Kerfriden (J. Comput. Des. Eng., 2023)

Near-boundary error reduction with an optimized weighted Dirichlet-Neumann boundary condition for stochastic PDE-based Gaussian random field generators. - Evan John Ricketts; Peter John Cleall; Tony Jefferson; Pierre Kerfriden; Paul Lyons (Eng. Comput., 2023)

A plastic correction algorithm for full-field elasto-plastic finite element simulations : critical assessment of predictive capabilities and improvement by machine learning. - Abhishek Palchoudhary; Simone Peter; Vincent Maurel; Cristian Ovalle; Pierre Kerfriden (CoRR, 2024)

A multi-scale probabilistic methodology to predict high-cycle fatigue lifetime for alloys with process-induced pores. - Abhishek Palchoudhary; Cristian Ovalle; Vincent Maurel; Pierre Kerfriden (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)

A Bayesian extension to FEMU for identification of spatially varying stochastic elastic properties from digital image and volume correlation measurements. - Armand Touminet; Sabine Cantournet; Victor Fabre; Pierre Kerfriden (J. Comput. Phys., 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)

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)

A predictor-corrector scheme for approximating signed distances using finite element methods. - Amina El Bachari; Johann Rannou; Vladislav A. Yastrebov; Pierre Kerfriden; Susanne Claus (CoRR, 2025)