Publications

Machine Learning

Physics-based super-resolved simulation of 3D elastic wave propagation adopting scalable diffusion transformer

In this study, we develop a Diffusion Transformer (referred as to DiT1D) for synthesizing realistic earthquake time histories. The DiT1D generates realistic broadband accelerograms (0–30Hz resolution), constrained at low frequency by 3-dimensional …

Hugo Gabrielidis, Filippo Gatti, Stéphane Vialle

Computer Physics Communications - 2026

Engineering Sciences

Visualization experiment and numerical analysis of supercritical CO2 flow inside porous chip: Effect of heat transfer and porous structures

Jiaxin Liu, Mengshuai Chen, Rachid Bennacer, Lin Chen

Journal of Supercritical Fluids - 2026

Engineering Sciences

Investigations of raster layup effect on mechanical and fracture properties of material extruded ABS samples under biaxial loadings

The mechanical properties of 3D printed parts are influenced by the parameters used during the manufacturing process. Among them, the raster orientation plays an important role. In this study, biaxial tensile tests coupled with digital image…

Qun Wu, Joseph Marae Djouda, Benjamin Smaniotto, Rémi Legroux, François Hild

International Journal of Advanced Manufacturing Technology - 2026

Mechanics

Classical and relativistic balance of configurational forces

This article develops a unified variational framework for configurational (or material) forces in both Classical (3D, non-relativistic) and Relativistic (4D) Continuum Mechanics. Configurational forces describe the evolution of material defects-such…

Rodrigue Desmorat, Anthony Gravouil, Boris Kolev

European Journal of Mechanics - A/Solids - 2026

Engineering Sciences

A combined hardware and software method for the projection center calibration of the diffraction pattern

The precise knowledge of the projection center (PC) coordinates is vital for diffraction techniques, especially for electron backscatter diffraction (EBSD) and transmission Kikuchi diffraction (TKD). Numerous techniques have been proposed for PC…

Liting Zhang, Qiwei Shi, Dominique Loisnard, Maxime Mollens, Haowei Wang, Stéphane Roux

Micron - 2026

Fluid mechanics

Divergence-Free Diffusion Models for Incompressible Fluid Flows

Generative diffusion models are extensively used in unsupervised and self-supervised machine learning with the aim to generate new samples from a probability distribution estimated with a set of known samples. They have demonstrated impressive…

Wilfried Genuist, Éric Savin, Filippo Gatti, Didier Clouteau

Engineering Sciences

Unlocking 2D/3D+T myocardial mechanics from cine MRI: a mechanically regularized space-time finite element correlation framework

Accurate and biomechanically consistent quantification of cardiac motion remains a major challenge in cine MRI analysis. While classical feature tracking and recent deep learning methods have improved frame wise strain estimation, they often lack…

Haizhou Liu, Xueling Qin, Zhou Liu, Yuxi Jin, Heng Jiang, Yunlong Gao, Jidong Han, Yijia Zheng, Heng Sun, Lingtao Mao, François Hild, Hairong Zheng, Dong Liang, Na Zhang, Jiuping Liang, Dehong Luo, Zhanli Hu

Medical Image Analysis - 2026

Engineering Sciences

Effective reduced-order approximation for fast and robust MCRE-based parametric identification of nonlinear history-dependent material laws

This article essentially addresses the numerical frugality of model updating procedures using reduced order modelling. Nonlinear material behaviour is tackled in the article with the focus being on elasto(visco)-plasticity and elasto(visco)-plastic…

Mainak Bhattacharyya, Ludovic Chamoin

Computational Mechanics - 2026

Materials and structures in mechanics

Model calibration using Identifiability Classes: improved accuracy, robustness and speed

Finite Element Model Updating (FEMU) methods enable for the calibration of model parameters by minimizing the discrepancy between computed and measured data. However, the accuracy and reliability of these methods depend on the identifiability of the…

Antoine Vintache, Renaud Gras, Florent Mathieu, François Hild

Colloque National Mécamat - 2026

Solid mechanics

Influence of printing orientation of Inconel 718 specimens on LEFM parameters analyzed via DVC

Laser powder bed fusion (LPBF) is an additive manufacturing technique that enables for the production of metallic parts with complex geometries, and the possibility of locally adapting mesostructures. This study aims at determining the influence of…

Malo Valmalle, Gaëtan Touzé, Benjamin Smaniotto, Nicolas Muller, Joseph Marae Djouda, François Hild

Engineering Fracture Mechanics - 2026