Serge Prudhomme

According to our database, Serge Prudhomme authored at least 25 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

An efficient PGD solver for structural dynamics applications.

Clément Vella, Pierre Gosselet, Serge Prudhomme

Adv. Model. Simul. Eng. Sci., December, 2024

ML-based identification of the interface regions for coupling local and nonlocal models.

Noujoud Nader, Patrick Diehl, Marta D'Elia, Christian Glusa, Serge Prudhomme

CoRR, 2024

Operator approximation of the wave equation based on deep learning of Green's function.

Ziad Aldirany, Régis Cottereau, Marc Laforest, Serge Prudhomme

Comput. Math. Appl., 2024

2023

Multi-level Neural Networks for Accurate Solutions of Boundary-Value Problems.

Ziad Aldirany, Régis Cottereau, Marc Laforest, Serge Prudhomme

CoRR, 2023

Optimal Design of Validation Experiments for the Prediction of Quantities of Interest.

Antonin Paquette-Rufiange, Serge Prudhomme, Marc Laforest

CoRR, 2023

PGD reduced-order modeling for structural dynamics applications.

Clément Vella, Serge Prudhomme

CoRR, 2023

2022

Coupling approaches for classical linear elasticity and bond-based peridynamic models.

Patrick Diehl, Serge Prudhomme

CoRR, 2022

Optimal error analysis of the spectral element method for the 2D homogeneous wave equation.

Ziad Aldirany, Régis Cottereau, Marc Laforest, Serge Prudhomme

Comput. Math. Appl., 2022

2020

On the treatment of boundary conditions for bond-based peridynamic models.

Serge Prudhomme, Patrick Diehl

CoRR, 2020

2019

On a Goal-Oriented Version of the Proper Generalized Decomposition Method.

Kenan Kergrene, Ludovic Chamoin, Marc Laforest, Serge Prudhomme

J. Sci. Comput., 2019

Enhanced functional evaluation for the finite element penalty method.

Vikram V. Garg, Serge Prudhomme

Comput. Math. Appl., 2019

Scheduling Optimization of Parallel Linear Algebra Algorithms Using Supervised Learning.

Gabriel Laberge, Shahrzad Shirzad, Patrick Diehl, Hartmut Kaiser, Serge Prudhomme, Adrian S. Lemoine

Proceedings of the 2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2019

2015

Error Decomposition and Adaptivity for Response Surface Approximations from PDEs with Parametric Uncertainty.

Corey M. Bryant, Serge Prudhomme, Tim Wildey

SIAM/ASA J. Uncertain. Quantification, 2015

Systematic validation of non-equilibrium thermochemical models using Bayesian inference.

Kenji Miki, Marco Panesi, Serge Prudhomme

J. Comput. Phys., 2015

Adaptive surrogate modeling for response surface approximations with application to bayesian inference.

Serge Prudhomme, Corey M. Bryant

Adv. Model. Simul. Eng. Sci., 2015

2014

Adjoint-consistent formulations of slip models for coupled electroosmotic flow systems.

Vikram V. Garg, Serge Prudhomme, Kris G. van der Zee, Graham F. Carey

Adv. Model. Simul. Eng. Sci., 2014

2013

Data partition methodology for validation of predictive models.

Rebecca E. Morrison, Corey M. Bryant, Gabriel Terejanu, Serge Prudhomme, Kenji Miki

Comput. Math. Appl., 2013

2012

Corrigendum to "Probabilistic models and uncertainty quantification for the ionization reaction rate of atomic Nitrogen" [JCOMP 231(9) (2012) 3871-3886].

Kenji Miki, Marco Panesi, Ernesto E. Prudencio, Serge Prudhomme

J. Comput. Phys., 2012

Probabilistic models and uncertainty quantification for the ionization reaction rate of atomic Nitrogen.

Kenji Miki, Marco Panesi, Ernesto E. Prudencio, Serge Prudhomme

J. Comput. Phys., 2012

2011

Bayesian uncertainty analysis with applications to turbulence modeling.

Sai Hung Cheung, Todd A. Oliver, Ernesto E. Prudencio, Serge Prudhomme, Robert D. Moser

Reliab. Eng. Syst. Saf., 2011

2007

Using Cyber-Infrastructure for Dynamic Data Driven Laser Treatment of Cancer.

Chandrajit L. Bajaj, J. Tinsley Oden, Kenneth R. Diller, James C. Browne, John D. Hazle, Ivo Babuska, Jon Bass, L. Bidaut, Leszek F. Demkowicz, Andrew Elliott, Yusheng Feng, David Fuentes, Boseob Kwon, Serge Prudhomme, R. Jason Stafford, Yongjie Zhang

Proceedings of the Computational Science, 2007

2006

MultiScale Modeling of Physical Phenomena: Adaptive Control of Models.

J. Tinsley Oden, Serge Prudhomme, Albert Romkes, Paul T. Bauman

SIAM J. Sci. Comput., 2006

Development of a Computational Paradigm for Laser Treatment of Cancer.

J. Tinsley Oden, Kenneth R. Diller, Chandrajit L. Bajaj, James C. Browne, John D. Hazle, Ivo Babuska, Jon Bass, Leszek F. Demkowicz, Yusheng Feng, David Fuentes, Serge Prudhomme, Marissa Nichole Rylander, R. Jason Stafford, Yongjie Zhang

Proceedings of the Computational Science, 2006

2004

A Dynamic Data Driven Computational Infrastructure for Reliable Computer Simulations.

J. Tinsley Oden, James C. Browne, Ivo Babuska, Chandrajit L. Bajaj, Leszek F. Demkowicz, L. Gray, Jon Bass, Yusheng Feng, Serge Prudhomme, Fabio Nobile, Raúl Tempone

Proceedings of the Computational Science, 2004

2003

A <i>posteriori</i> error estimation for a new stabilized discontinuous Galerkin method.

Albert Romkes, Serge Prudhomme, J. Tinsley Oden

Appl. Math. Lett., 2003