Publications

Physics

Experimental study and modeling of extreme ultraviolet 4000 lines/mm diffraction gratings coated with periodic and aperiodic Al/Mo/SiC multilayers

Amr Hisham K. Mahmoud, Sébastien de Rossi, Evgueni Meltchakov, Blandine Capitanio, Muriel Thomasset, Maxime Vallet, Franck Delmotte

Applied optics - 2024

Artificial Intelligence

3D elastic wave propagation with a Factorized Fourier Neural Operator (F-FNO)

Numerical simulations are computationally demanding in three-dimensional (3D) settings but they are often required to accurately represent physical phenomena. Neural operators have emerged as powerful surrogate models to alleviate the computational…

Fanny Lehmann, Filippo Gatti, Michaël Bertin, Didier Clouteau

Computer Methods in Applied Mechanics and Engineering - 2024

Physics

An alternative method for the analysis of Resonant Ultrasound Spectra of isotropic materials

Resonant Ultrasound Spectroscopy is known as one of the most accurate techniques to determine materials' elastic properties. Its use has been limited until now since the extraction of elastic coefficients from resonance spectra requires some…

Henri Noel, Thierry Martin, Véronique Aubin, Guilhem Dezanneau

Engineering Sciences

3D aerogel membrane-based evaporator with sandwich structure for superior solar-driven evaporation

Xi Hu, Yutong Song, Yundi Lv, Beibei Wang, Jinbo Bai, Shenghua Ma

Desalination - 2024

Géotechnique

An open-source application software for spatial prediction of permanent displacements in earthquake-induced landslides by the Newmark sliding block method:

Exneyder Montoya-Araque, Silvana Montoya-Noguera, Fernando Lopez‐caballero

Environmental Modelling and Software - 2024

Engineering Sciences

Unification of rheology of thixotropic yield stress fluids and screen printing properties of pastes

Chaobin Mao, Yuxin Tian, Xingyu Zhou, Jinbo Bai, Shenghua Ma, Hui Wang

Colloids and Surfaces A: Physicochemical and Engineering Aspects - 2024

Vibrations

Implementation and analysis of viscoelastic damping in a 2D + 1D model of railway track vibrations

One of the most important technological challenges in the railway context nowadays is reducing the noise produced by the interaction between the train wheels and the track surface, that is the rolling noise. Introducing viscoelastic damping in the…

Guilherme Viana, Guillaume Puel, Ludovic Chamoin, Andrea Barbarulo

Mechanical Systems and Signal Processing - 2024

Artificial Intelligence

Unsupervised learning of history-dependent constitutive material laws with thermodynamically-consistent neural networks in the modified Constitutive Relation Error framework.

This article proposes a consistent and general approach to train physics-augmented neural networks with observable data to enrich and represent nonlinear history-dependent material behaviors in terms of both state equations and evolution laws. In…

Antoine Benady, Emmanuel Baranger, Ludovic Chamoin

Computer Methods in Applied Mechanics and Engineering - 2024

Artificial Intelligence

Apprentissage non-supervisé de lois de comportement nonlinéaires avec réseau de neurones thermodynamiquement consistent par minimisation de l'erreur en relation de comportement modifiée

Cet article propose une méthode d'apprentissage de lois de comportement nonsupervisé, fondée sur la minimisation de l'erreur en relation de comportement modifiée. La loi de comportement, en termes de loi d'état et d'équation d'évolution, est…

Antoine Benady, Emmanuel Baranger, Ludovic Chamoin

Engineering Sciences

Quantifying 3D Crack Propagation in Nodular Graphite Cast Iron Using Advanced Digital Volume Correlation and X-ray Computed Tomography

Advanced digital volume correlation (DVC) combined with X-ray computed tomography (XCT) was utilized to investigate the 3D crack propagation in nodular graphite cast iron under tensile loading. The objective of this work was to quantify crack growth…

Haizhou Liu, François Hild

Engineering Fracture Mechanics - 2024