Publications

Engineering Sciences

Advantages and promises of deep neural operators for the prediction of wave propagation

Physics-based deep learning experienced a major breakthrough a few years ago with the advent of neural operators. Beyond the traditional use of deep neural networks to predict the solution to a fixed Partial Differential Equation (PDE), these novel…

Fanny Lehmann, Filippo Gatti, Michaël Bertin, Didier Clouteau

Engineering Sciences

Hybrid generation based on machine learning to enhance numerical simulation for earthquake

In the last decades, geophysicists have developed numerical simulators to predict earthquakes and other natural catastrophes. However, the more precise the model is, the higher the computational burden and the time to results. In addition, even if…

Gottfried Jacquet, Didier Clouteau, Filippo Gatti

Engineering Sciences

Alignment of 3D woven textile composites towards their ideal configurations

The objective of the present study is to create a parametric model of an ideal 3D woven textile from a computed tomography at mesoscale without prior knowledge of the fabric architecture. The model is constructed by identifying a minimal number of…

Marcello Rubino, Arturo Mendoza, Yanneck Wielhorski, Keerthi Krishna Parvathaneni, Stéphane Roux

Computer Methods in Applied Mechanics and Engineering - 2023

Engineering Sciences

Fourier Neural Operator Surrogate Model to Predict 3D Seismic Waves Propagation

With the recent rise of neural operators, scientific machine learning offers new solutions to quantify uncertainties associated with high-fidelity numerical simulations. Traditional neural networks, such as Convolutional Neural Networks (CNN) or…

Fanny Lehmann, Filippo Gatti, Michaël Bertin, Didier Clouteau

Engineering Sciences

Multi-storey shear type buildings under earthquake loading: Adversarial learning-based prediction of the transient dynamics and damage classification

In this paper, the transient dynamic response of shear type multi-storey buildings subjected to earthquake ground motion is generated via adversarial learning technique under different damage conditions, starting from the relevant undamaged…

Filippo Gatti, Luca Rosafalco, Giorgia Colombera, Stefano Mariani, Alberto Corigliano

Soil Dynamics and Earthquake Engineering - 2023

Cardiology and cardiovascular system

Mechanistic insights on age-related changes in heart-aorta-brain hemodynamic coupling using a pulse wave model of the entire circulatory system

We investigated the impact of major aging mechanisms of the arterial system and cardiac function on brain hemodynamics. Our findings suggest that aging has a significant impact on heart-aorta-brain coupling through changes in both arterial…

Arian Aghilinejad, Faisal Amlani, Sohrab Mazandarani, Kevin King, Niema Pahlevan

AJP - Heart and Circulatory Physiology - 2023

Human health and pathology

Épidémiologie, facteurs et complications associée à l’utilisation de noradrénaline en chirurgie cardiaque avec circulation extracorporelle : une étude observationnelle française multicentrique et prospective

Background The present study was designed to describe the prevalence of norepinephrine use, the factors associated with its use, and the incidence of postoperative complications according to norepinephrine use, in patients undergoing cardiac surgery…

Pierre-Grégoire Guinot, Bastien Durand, Emmanuel Besnier, Mertes Paul Michel, Chloe Bernard, Maxime Nguyen, Vivien Berthoud, Osama Abou-Arab, Belaid Bouhemad, Audrey Martin, Valerian Duclos, Alexandra Spitz, Tiberiu Constandache, Sandrine Grosjean, Mohamed Radhouani, Jean-Baptiste Anciaux, Marie-Catherine Morgant, Olivier Bouchot, Saed Jazayeri, Zoe Demailly, Hervé Dupont, Michel Kindo, Thibaut Wpiff

Anesthésie & Réanimation - 2023

Electromagnetism

A deep learning framework for efficient global sensitivity analysis and SHAP values calculations applied to eddy current testing problems

In the context of non-destructive testing and evaluation research community, global sensitivity analysis (GSA) methods are widespread tool for quantifying the sensitivity of measurements with respect to the variation of inputs over the whole design…

Gerardo Granados, Roberto Miorelli, Filippo Gatti, Didier Clouteau

QNDE - 2023

Géotechnique

Comparative Study of Homogenization Techniques for Evaluating the Bearing Capacity of Bimsoils under Shallow Foundations

Silvana Montoya Noguera, Fernando Lopez‐caballero

Computers and Geotechnics - 2023

Mechanics of materials

Anisotropic damage state modeling based on harmonic decomposition and discrete simulation of fracture

This study proposes an anisotropic damage state modeling of the effective (damaged) elasticity tensor Ẽ as a function of damage based on (i) a discrete element model for quasi-brittle material and (ii) a decomposition of the elasticity tensor in…

Flavien Loiseau, Cécile Oliver Oliver-Leblond, Thomas Verbeke, Rodrigue Desmorat

Engineering Fracture Mechanics - 2023