Publications

Mechanics of materials

One neural network to rule them all: multimaterial experimental learning of nonlinear elasticity

Studying nonlinear elasticity allows us to describe industrial materials such as rubber, silicone, and neoprene, as well as soft tissues such as skin, muscle, liver, and arteries. A better understanding of these materials could help improve the…

Maxence Barberet-Pinto, Thomas Ferchal, Lucas Mabileau, Clément Jailin

Congrès Junior Pluridisciplinaire - 2026

Biomechanics

Multiscale effects of dentinogenesis imperfecta on elastic properties and mineralization: A pilot study on primary dentin with a COL1A2 variant

Dentinogenesis Imperfecta (DI) is a rare genetic disorder characterized by dentin hypomineralisation. While DI is known to impair dentin’s mechanical properties of the tissue and cause multiple tooth fractures, the microstructural origins of dentin…

Shangaya Touraivane, Margot Charlotte Riou, Thomas Reiss, Nicolas Roubier, Delong He, Benjamin Smaniotto, Muriel de la Dure-Molla, Benjamin Pj Fournier, Claire Acevedo, Elsa Vennat

Dental Materials - 2026

Machine Learning

Correcting Neural Operator Spectral Bias via Diffusion Posterior Sampling with Sparse Observations

Neural operator surrogates (NO) approximate PDE solutions orders of magnitude faster than numerical solvers, but suffer from spectral bias: high-frequency content is systematically attenuated, limiting reliability where fine-scale structure matters…

Niccolò Perrone, Fanny Lehmann, Stefania Fresca, Filippo Gatti

Differential Geometry

Minimal surfaces: A Lagrangian derivation of first and second variations

This article develops a rigorous Lagrangian formulation of variational calculus for minimal surfaces, using extensively the concept of pullback covariant derivative. The goal of this paper is not to present new results on this extensively studied…

Romain Lloria, Boris Kolev

Materials and structures in mechanics

ReaderAdaptNet: modeling reader variability in breast imaging with reader-specific embeddings

Abstract Objective. Inter-reader variability remains a major challenge in breast imaging interpretation, particularly for ordinal classification tasks such as breast density and background parenchymal enhancement (BPE). These visual assessments are…

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

Physics in Medicine and Biology - 2026

Engineering Sciences

Mechanics-guided data-enhanced kinematic models for time-resolved DVC

X-ray Computed Tomography (XCT) combined with Digital Volume Correlation (DVC) enables for internal displacement and strain measurements in deforming materials. The long acquisition time of tomographic scans restricts analyses to a few static…

Pierre Latil, Malo Valmalle, Benjamin Smaniotto, Clément Jailin, François Hild

Comptes Rendus. Mécanique - 2026

Instrumentation and Detectors

Integrated Projection-enhanced DVC to monitor nonlinearities associated with fracture experiments

Digital Volume Correlation (DVC) is an established method for extracting full-field displacements from in-situ experiments monitored by X-ray computed tomography. However, the temporal sampling of such measurements is usually sparse, which limits…

Malo Valmalle, Clément Jailin, François Hild

17ème Colloque National en Calcul des Structures (CSMA 2026) - 2026

Structural mechanics