Publications

Engineering Sciences

Prediction model of TBM response parameters based on a hybrid drive of knowledge and data

Min Yao, Xu Li, Yuan-En Pang, Yu Wang

Tunnelling and Underground Space Technology - 2025

Machine Learning

Fast 3D Diffusion for Scalable Granular Media Synthesis

Simulating granular media, using Discrete Element Method is a computationally intensive task. This is especially true during initialization phase, which dominates total simulation time because of large displacements involved and associated kinetic…

Muhammad Moeeze Hassan, Régis Cottereau, Filippo Gatti, Patryk Dec

Geophysics

Breaking the Black Box: Inherently Interpretable Physics-Informed Machine Learning for Imbalanced Seismic Data

Earthquakes are the most damaging natural disasters in the past century, making ground motion models (GMMs) critical components in seismic risk mitigation and infrastructure design. With rapidly expanding strong motion databases, machine learning …

Sreenath Vemula, Filippo Gatti, Pierre Jehel

Geophysics

Tsunami modeling with dynamic seafloors: a high-order solver validated with shallow water benchmarks

Recent scientific studies have suggested that, in certain physical configurations, the time-dependent behavior of earthquake rupture and seafloor (bathymetry) motion can leave observable near-field signatures in tsunami wave generation and…

Thomas Melkior, Harsha S Bhat, Faisal Amlani

Solid mechanics

A strategy with reduced models dedicated to parametrized nonlinear strongly coupled thermo-poroelasticity problems

This paper offers an approach to deal with parametrized nonlinear strongly coupled thermo-poroelasticity problems. The approach uses the LATIN-PGD method and extends previous work in multiphysics problems. Proper Generalized Decomposition (PGD)…

Elise Foulatier, David Néron, François Louf, Pierre-Alain Boucard

Structural mechanics

Modélisation simplifiée de l’usure dans les liaisons à contact conforme – Application aux aubes à calages variables

Mastering engine maintenance is a key issue for airline companies. To avoid aircraft being grounded for extended and costly periods, it is strategically important to anticipate maintenance cycles, and therefore the wear of systems. In this context,…

Vivien Fouquet, Pierre-Alain Guidault, François Louf, Pierre-Alain Boucard, Jean-Hilaire Lexilus, Amakoe Ahyee, Nathalie Serres

26ème Congrès Français de Mécanique 2025 (CFM 2025) - 2025

Structural mechanics

Preprint: Geometry-agnostic model reduction with GNN-generated reduced POD bases and Boosted PGD enrichment for (non)linear structural elastodynamics

Victor Matray, Frédéric Feyel, David Néron, Faisal Amlani

Mechanical engineering

Non-local approach to fretting fatigue problems, modelling contact behaviour under complex conditions

Fretting phenomenon occurs when two contacting solids are subjected to vibratory loads, resulting in micro-slip at the contact interface. This phenomenon can lead to micro-cracks initiation and wear debris formation within the contact region. Under…

Naansonou Patrick Lare

Computer Science

Deep Learning Framework for Managing Inter-Reader Variability in Background Parenchymal Enhancement Classification for Contrast-Enhanced Mammography

Background parenchymal enhancement (BPE) classification for contrast-enhanced mammography (CEM) is highly affected by inter-reader variability. Traditional approaches aggregate expert annotations into a single consensus label to minimize individual…

Elodie Ripaud, Clément Jailin, Pablo Milioni De Carvalho, Laurence Vancamberg, Isabelle Bloch

28th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2025) - 2025

Engineering Sciences

Experimental and numerical study of crack propagation in an interleaved laminate reinforced by thermoplastic particles

V. Priasso, J. Lamon, Cuong Ha-Minh, P. Ladevèze, C. Petiot

Composites Part B: Engineering - 2025