Publications

Mechanics

Identifiability Classes: A Novel Framework for Evaluating Parameter Identifiability

Finite Element Model Updating (FEMU) methods are a class of inverse methods that allows calibrating model parameters based on sensitivity analyses of an FE model. They have the advantage of being non-intrusive to the simulation model, and being able…

Antoine Vintache, Pierre Baudoin, Renaud Gras, Florent Mathieu, François Hild

Society for Experimental Mechanics Annual Conference - 2025

Modeling and Simulation

Material-embedding Physics-Augmented Neural Networks: A first application to constitutive law parameterization

A novel Material-Embedding Physics-Augmented Neural Network (ME-PANN) framework is presented for constitutive modeling in isotropic elasticity. A self-supervised trainable embedding vector is introduced to capture material-specific information. The…

Clément Jailin, E. Baranger

Computer Methods in Applied Mechanics and Engineering - 2025

Geophysics

A new pseudo-spectral solver for 2D tsunami equations subjected to dynamic earthquake ground motion

Thomas Melkior, Harsha S. Bhat, Faisal Amlani

10th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COMPDYN 2025) - 2025

Numerical Analysis

A fast, high-order, parallel numerical methodology for hyperbolic PDEs: applications to elastodynamics problems in ultrasonic non-destructive testing & seismic wave propagation

Faisal Amlani

10th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COMPDYN 2025) - 2025

Mechanical engineering

Identification et quantification des mécanismes de dommages mécaniques dans les polymères renforcés de fibres de verre par tomographie à rayons X

Owing to their advantageous properties compared to conventional engineering materials, the use of fiber reinforced polymers (FRP) is in constant increase. Due to their heterogeneous nature, various damage mechanisms initiate on different scales…

Ana Vrgoč Mandić

Engineering Sciences

Local/global non-intrusive coupling strategy for robust design: a first attempt

Léa Karaouni, Ludovic Chamoin, O. Allix, S. Guinard

Advanced Modeling and Simulation in Engineering Sciences - 2025

Engineering Sciences

Non-intrusive local/global coupling with local deep learning-based models for the effective simulation of spotwelded structures under impact

Afsal Pulikkathodi, Ludovic Chamoin, Elisabeth Lacazedieu, Juan Pedro Berro Ramirez, Laurent Rota, Malek Zarroug

International Journal for Numerical Methods in Engineering - 2025

Engineering Sciences

Neural Triangular Map for Density Estimation and Sampling with Application to Bayesian Inference

Dawen Wu, Ludovic Chamoin, Stéphane Bressan

Journal of Computational Physics - 2025

Biomechanics

Time-Frequency Machine Learning Transfer Function for Central Pressure Waveforms

Abstract Background Clinical studies show that pulsatile hemodynamics and pressure waveform analysis are valuable for the diagnosis and prognosis of hypertension and heart failure. While generalized transfer functions (GTF) have shown clinical…

Soha Niroumandi, Heng Wei, Faisal Amlani, M Hossein Gorji, Rashid Alavi, Julio Chirinos, Niema Pahlevan

European Heart Journal Open - 2025

Materials and structures in mechanics

Graph Neural Network-Enhanced Model Order Reduction for Complex Geometries

Victor Matray, Faisal Amlani, Frédéric Feyel, David Néron

10th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COMPDYN 2025) - 2025