Publications

Soft Condensed Matter

The N-link model for slender rods in a viscous fluid: well-posedness and convergence to classical elastohydrodynamics equations

Flexible fibers at the microscopic scale, such as flagella and cilia, play essential roles in biological and synthetic systems. The dynamics of these slender filaments in viscous flows involve intricate interactions between their mechanical…

François Alouges, Aline Lefebvre-Lepot, Jessie Levillain, Clément Moreau

Signal and Image processing

L1-Norm Redundant Delaunay Phase Unwrapping and Gradient Correction

This article deals with arrays of real numbers which have been reduced modulo 2h into the interval [-h, h] where h > 0 is a positive real number. Such an array is said to be wrapped modulo 2h. Often, the elements of these arrays correspond to…

Alexandre Achard-de Lustrac, Roland Akiki, Axel Davy, Jean-Michel Morel

Software Engineering

Reproducible research policies and software/data management in scientific computing journals: a survey, discussion, and perspectives

The recognized credibility crisis in scientific research has led to an increasing focus on reproducibility studies, particularly in computer science. Existing studies predominantly examine specific technological aspects of reproducibility but…

Jose Armando Hernandez, Miguel Colom

Frontiers in Computer Science - 2025

Artificial Intelligence

Bridging Contrastive Learning and Domain Adaptation: Theoretical Perspective and Practical Application

This work studies the relationship between Contrastive Learning and Domain Adaptation from a theoretical perspective. The two standard contrastive losses, NT-Xent loss (Self-supervised) and Supervised Contrastive loss, are related to the Class-wise…

Gonzalo Iñaki Quintana, Laurence Vancamberg, Vincent Jugnon, Agnès Desolneux, Mathilde Mougeot

Acoustics

Ultrasound-induced dense granular flows: a two-time scale modeling

Understanding the mechanisms behind the remote triggering of landslides by seismic waves at micro-strain amplitude is essential for quantifying seismic hazards. Granular materials provide a relevant model system to investigate landslides within the…

Hugo A. Martin, Anne Mangeney, Xiaoping Jia, Bertrand Antti Maury, Aline Lefebvre-Lepot, Yvon Maday, Paul Dérand

Journal of Fluid Mechanics - 2025

Engineering Sciences

An Experimental Study Of The Vortical Structures In Supersonic Steam Jet Impinged On To The Wall

This study presents an experimental investigation into the impingement of a supersonic steam jet onto a wall. Steam was injected through a supersonic nozzle at a varying total pressure of 1.5-3.0 bars, producing a supersonic steam jet at a pressure…

Afrasyab Khan, Khairuddin Sanaullah, Pavel Alexandrovich Taranenko, Vladimir Vladimirovich Sinitsin, David Bassir, Ajmal Shah, Ahmed Zafar, Andrew Ragai Henry Rigit

Preprints.org - 2025

Engineering Sciences

Enhanced Numerical Solutions for Fractional PDEs Using Monte Carlo PINNs Coupled with Cuckoo Search Optimization

In this study, we introduce an innovative approach for addressing fractional partial differential equations (fPDEs) by combining Monte Carlo-based Physics-Informed Neural Networks (PINNs) with the Cuckoo Search (CS) optimization algorithm, termed…

Tauqeer Ahmad, Muhammad Sulaiman, David Bassir, Fahad Sameer Alshammari, Ghaylen Laouini

Preprints.org - 2025

Life Sciences

Cardiac acetylcholinesterase and butyrylcholinesterase have distinct localization and function

Cholinesterase (ChE) inhibitors are under consideration to be used in the treatment of cardiovascular pathologies. A prerequisite to advancing ChE inhibitors into the clinic is their thorough characterization in the heart. The aim here was to…

Dominika Dingová, Matej Kučera, Tibor Hodbod, Rodolphe Fischmeister, Eric Krejci, Anna Hrabovská

AJP - Heart and Circulatory Physiology - 2025

Computer Science

Cluster Insight: A Weighted Clustering Tool for Large Textual Data Exploration

In unsupervised learning, the exploration of large volumes of textual data is a topic of significant interest. In this article, we present our compact and easy-to-use application to explore large volumes of textual data using clustering and…

Amine Ferdjaoui, Séverine Affeldt, Mohamed Nadif

The 18th ACM International Conference on Web Search and Data Mining - 2025

Optimization and Control

Constrained Approximate Optimal Transport Maps

We investigate finding a map $g$ within a function class $G$ that minimises an Optimal Transport (OT) cost between a target measure $\nu$ and the image by $g$ of a source measure $\mu$. This is relevant when an OT map from $\mu$ to $\nu$ does not…

Eloi Tanguy, Agnès Desolneux, Julie Delon

ESAIM: Control, Optimisation and Calculus of Variations - 2025