Thibault Dairay

Orcid: 0009-0006-5887-7245

According to our database1, Thibault Dairay authored at least 9 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Machine-Learning Enhanced Predictors for Accelerated Convergence of Partitioned Fluid-Structure Interaction Simulations.
CoRR, 2024

Geometry-aware framework for deep energy method: an application to structural mechanics with hyperelastic materials.
CoRR, 2024

2023
Tracking Distributed Parameters System Dynamics with Recursive Dynamic Mode Decomposition with Control.
SIAM J. Appl. Dyn. Syst., March, 2023

Non-intrusive reduced order models for partitioned fluid-structure interactions.
CoRR, 2023

Fixed-Budget Online Adaptive Learning for Physics-Informed Neural Networks. Towards Parameterized Problem Inference.
Proceedings of the Computational Science - ICCS 2023, 2023

2022
Physics-informed neural networks for non-Newtonian fluid thermo-mechanical problems: An application to rubber calendering process.
Eng. Appl. Artif. Intell., 2022

Fixed-budget online adaptive mesh learning for physics-informed neural networks. Towards parameterized problem inference.
CoRR, 2022

Continuous Methods : Adaptively intrusive reduced order model closure.
CoRR, 2022

2017
Numerical dissipation vs. subgrid-scale modelling for large eddy simulation.
J. Comput. Phys., 2017


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