Publications

Physics

Localization landscape for interacting Bose gases in one-dimensional speckle potentials

While the properties and the shape of the ground state of a gas of ultracold bosons are well understood in harmonic potentials, they remain for a large part unknown in the case of random potentials. Here we use localization-landscape (LL) theory to…

Filippo Stellin, Marcel Filoche, Frédéric Dias

Physical Review A - 2023

Statistics

On quantitative Laplace-type convergence results for some exponential probability measures, with two applications

Laplace-type results characterize the limit of sequence of measures $(\pi_\varepsilon)_{\varepsilon >0}$ with density w.r.t the Lebesgue measure $(\mathrm{d} \pi_\varepsilon / \mathrm{d} \mathrm{Leb})(x) \propto \exp[-U(x)/\varepsilon]$ when the…

Valentin de Bortoli, Agnès Desolneux

Mathematics

Functional inequalities and strong Lyapunov functionals for free surface flows in fluid dynamics

This paper is motivated by the study of Lyapunov functionals for four equations describing free surface flows in fluid dynamics: the Hele-Shaw and Mullins-Sekerka equations together with their lubrication approximations, the Boussinesq and thin-film…

Thomas Alazard, Didier Bresch

Interfaces and Free Boundaries : Mathematical Analysis, Computation and Applications - 2023

Mathematics

Traveling wave solution for a coupled incompressible Darcy's free boundary problem with surface tension

We study an incompressible Darcy's free boundary problem, recently introduced in [22]. Our goal is to prove the existence of non-trivial traveling wave solutions and thus validate the interest of this model to describe cell motility. The model…

Thomas Alazard, Martina Magliocca, Nicolas Meunier

Life Sciences

Innovative multidimensional gait evaluation using IMU in multiple sclerosis: introducing the semiogram

Background Quantifying gait using inertial measurement units has gained increasing interest in recent years. Highly degraded gaits, especially in neurological impaired patients, challenge gait detection algorithms and require specific segmentation…

Cyril Voisard, Nicolas de l'Escalopier, Aliénor Vienne-Jumeau, Albane Moreau, Flavien Quijoux, Flavie Bompaire, Magali Sallansonnet, Marie-Laure Brechemier, Irina Taifas, Camille Tafani, Eve Drouard, Nicolas Vayatis, Damien Ricard, Laurent Oudre

Frontiers in Neurology - 2023

Life Sciences

A Machine Learning Pipeline for Gait Analysis in a Semi Free-Living Environment

This paper presents a novel approach to creating a graphical summary of a subject's activity during a protocol in a Semi Free-Living Environment. Thanks to this new visualization, human behavior, in particular locomotion, can now be condensed into…

Sylvain Jung, Nicolas de l'Escalopier, Laurent Oudre, Charles Truong, Eric Dorveaux, Louis Gorintin, Damien Ricard

Sensors - 2023

Engineering Sciences

Integration of the AI and ML Approaches for Prediction Analysis in Welding: Review

Welding techniques are presents in almost all industries from automotive, aerospace, building, etc. Despite the fact that the technology behind welding remain simple, it is very complicated to characterize and predict the final mechanics responses…

David Bassir

Advances in Machinery, Materials Science and Engineering Application IX - 2023

Engineering Sciences

Evaluation of the possibility of determining fluctuations that could demonstrate the presence of particles interacting with photons

We are investigating the improvement of the precision of the means of measurement to determine if it is possible to have sufficient sensitivity to the detection of the effects of elementary particles which would be characteristic of dark matter. A…

Patrice Salzenstein, David Bassir

Photonics for Energy III - 2023

Engineering Sciences

Predicting Models for Local Sedimentary Basin Effect Using a Convolutional Neural Network

Although the numerical models can estimate the significant influence of local site conditions on the seismic propagation characteristics near the surface in many studies, they cannot feasibly predict the seismic ground motion amplification in…

Xiaomei Yang, Miao Hu, Xin Chen, Shuai Teng, Gongfa Chen, David Bassir

Applied Sciences - 2023

Engineering Sciences

A Symmetry Concept for the Self-Assembly Synthesis of Mn-MIL-100 Using a Capping Agent and Its Adsorption Performance with Methylene Blue

In this study, a facile strategy of regulated self-assembly synthesis of Mn-MIL-100, using sodium acetate (CH3COONa) as a mono-dentate ligand capping agent (CA), was proposed. The as-prepared product is denoted Mn-MIL-100-CA. The coordination…

Guolin Song, Chengzhu Shen, David Bassir, Qiulin Li

Symmetry - 2023