Didier Lucor

Orcid: 0000-0003-4334-4586

According to our database1, Didier Lucor authored at least 19 papers between 2003 and 2024.

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

Timeline

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Bibliography

2024
Understanding the training of PINNs for unsteady flow past a plunging foil through the lens of input subdomain level loss function gradients.
CoRR, 2024

Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees.
CoRR, 2024

2023
Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review.
IEEE CAA J. Autom. Sinica, June, 2023

Physics-informed neural networks modeling for systems with moving immersed boundaries: application to an unsteady flow past a plunging foil.
CoRR, 2023

2022
Simple computational strategies for more effective physics-informed neural networks modeling of turbulent natural convection.
J. Comput. Phys., 2022

2021
Observation data compression for variational assimilation of dynamical systems.
J. Comput. Sci., 2021

Physics-aware deep neural networks for surrogate modeling of turbulent natural convection.
CoRR, 2021

2019
Background Error Covariance Iterative Updating with Invariant Observation Measures for Data Assimilation.
CoRR, 2019

Pressure and Flow Interplay in Aortic Dilation Using 4D Flow Magnetic Resonance Imaging.
Proceedings of the 46th Computing in Cardiology, 2019

2018
Goal-oriented error control of stochastic system approximations using metric-based anisotropic adaptations.
J. Comput. Phys., 2018

2017
Relative Aortic Blood Pressure Using 4D Flow MRI: Associations with Age and Aortic Tapering.
Proceedings of the Computing in Cardiology, 2017

2015
Iterative Polynomial Approximation Adapting to Arbitrary Probability Distribution.
SIAM J. Numer. Anal., 2015

2013
Robust Uncertainty Propagation in Systems of Conservation Laws with the Entropy Closure Method.
Proceedings of the Uncertainty Quantification in Computational Fluid Dynamics, 2013

2012
Non intrusive iterative stochastic spectral representation with application to compressible gas dynamics.
J. Comput. Phys., 2012

2009
Uncertainty quantification for systems of conservation laws.
J. Comput. Phys., 2009

2006
Covariance kernel representations of multidimensional second-order stochastic processes.
J. Comput. Phys., 2006

2004
Adaptive Generalized Polynomial Chaos for Nonlinear Random Oscillators.
SIAM J. Sci. Comput., 2004

Karhunen-Loeve Representation of Periodic Second-Order Autoregressive Processes.
Proceedings of the Computational Science, 2004

2003
Performance Evaluation of Generalized Polynomial Chaos.
Proceedings of the Computational Science - ICCS 2003, 2003


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