Thibault Dairay

12 papers Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Geometry-aware framework for deep energy method: An application to structural mechanics with hyperelastic materials.
Comput. Phys. Commun.
Thi Nguyen Khoa Nguyen, Thibault Dairay, Raphaël Meunier, Jean Di Stasio, Christophe Millet, Mathilde Mougeot
2025 J jnl
Machine-learning enhanced predictors for accelerated convergence of partitioned fluid-structure interaction simulations.
Comput. Phys. Commun.
Azzeddine Tiba, Thibault Dairay, Florian De Vuyst, Iraj Mortazavi, Juan-Pedro Berro Ramirez
2024 J jnl
Geometry-aware framework for deep energy method: an application to structural mechanics with hyperelastic materials.
CoRR
Thi Nguyen Khoa Nguyen, Thibault Dairay, Raphaël Meunier, Christophe Millet, Mathilde Mougeot
2024 J jnl
Machine-Learning Enhanced Predictors for Accelerated Convergence of Partitioned Fluid-Structure Interaction Simulations.
CoRR
Azzeddine Tiba, Thibault Dairay, Florian De Vuyst, Iraj Mortazavi, Juan-Pedro Berro Ramirez
2023 — conf
Fixed-Budget Online Adaptive Learning for Physics-Informed Neural Networks. Towards Parameterized Problem Inference.
ICCS (4)
Thi Nguyen Khoa Nguyen, Thibault Dairay, Raphaël Meunier, Christophe Millet, Mathilde Mougeot
2023 J jnl
Non-intrusive reduced order models for partitioned fluid-structure interactions.
CoRR
Azzeddine Tiba, Thibault Dairay, Florian De Vuyst, Iraj Mortazavi, Juan-Pedro Berro Ramirez
2023 J jnl
Tracking Distributed Parameters System Dynamics with Recursive Dynamic Mode Decomposition with Control.
SIAM J. Appl. Dyn. Syst.
Taleb Bou Hamdan, Guillaume Mercère, Thibault Dairay, Raphaël Meunier, Pascal Tremblay, Patrick Coirault
2022 J jnl
Continuous Methods : Adaptively intrusive reduced order model closure.
CoRR
Emmanuel Menier, Michele Alessandro Bucci, Mouadh Yagoubi, Lionel Mathelin, Thibault Dairay, Raphaël Meunier, Marc Schoenauer
2022 J jnl
Fixed-budget online adaptive mesh learning for physics-informed neural networks. Towards parameterized problem inference.
CoRR
Thi Nguyen Khoa Nguyen, Thibault Dairay, Raphaël Meunier, Christophe Millet, Mathilde Mougeot
2022 J jnl
Physics-informed neural networks for non-Newtonian fluid thermo-mechanical problems: An application to rubber calendering process.
Eng. Appl. Artif. Intell.
Thi Nguyen Khoa Nguyen, Thibault Dairay, Raphaël Meunier, Mathilde Mougeot
2022 J jnl
Physics-informed neural networks for non-Newtonian fluid thermo-mechanical problems: an application to rubber calendering process.
CoRR
Thi Nguyen Khoa Nguyen, Thibault Dairay, Raphaël Meunier, Mathilde Mougeot
2017 J jnl
Numerical dissipation vs. subgrid-scale modelling for large eddy simulation.
J. Comput. Phys.
Thibault Dairay, Eric Lamballais, Sylvain Laizet, John Christos Vassilicos