Didier Lucor
Orcid: 0000-0003-4334-4586
According to our database1,
Didier Lucor
authored at least 21 papers
between 2003 and 2025.
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Bibliography
2025
Sequential learning based PINNs to overcome temporal domain complexities in unsteady flow past flapping wings.
CoRR, March, 2025
AutoEncoders latent space interpretability in the light of proper orthogonal decomposition: Machine learning of periodically forced fluid flows.
Comput. Phys. Commun., 2025
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
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
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
2006
Covariance kernel representations of multidimensional second-order stochastic processes.
J. Comput. Phys., 2006
2004
SIAM J. Sci. Comput., 2004
Proceedings of the Computational Science, 2004
2003
Proceedings of the Computational Science - ICCS 2003, 2003