Kinetic Theory Microstructure Modeling in Concentrated Suspensions. - Emmanuelle Abisset-Chavanne; Rabih Mezher; Steven Le Corre; Amine Ammar; Francisco Chinesta (Entropy, 2013)

A micromechanics-based interface mesomodel for virtual testing of laminated composites. - Pierre Ladevèze; Federica Daghia; Emmanuelle Abisset; Camille Le Mauff (Adv. Model. Simul. Eng. Sci., 2014)

On the multi-scale description of electrical conducting suspensions involving perfectly dispersed rods. - Marta Pérez; Emmanuelle Abisset-Chavanne; Anais Barasinski; Francisco Chinesta; Amine Ammar; Roland Keunings (Adv. Model. Simul. Eng. Sci., 2015)

A Multidimensional Data-Driven Sparse Identification Technique: The Sparse Proper Generalized Decomposition. - Rubén Ibáñez; Emmanuelle Abisset-Chavanne; Amine Ammar; David González 002; Elías Cueto; Antonio Huerta; Jean-Louis Duval; Francisco Chinesta (Complex., 2018)

On the coupling of local 3D solutions and global 2D shell theory in structural mechanics. - Giacomo Quaranta; Mustapha Ziane; Fatima Daim; Emmanuelle Abisset-Chavanne; Jean-Louis Duval; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2019)

Modelling the effect of particle inertia on the orientation kinematics of fibres and spheroids immersed in a simple shear flow. - Adrien Scheuer; Guillaume Grégoire; Emmanuelle Abisset-Chavanne; Francisco Chinesta; Roland Keunings (Comput. Math. Appl., 2020)

Octree Optimized Micrometric Fibrous Microstructure Generation for Domain Reconstruction and Flow Simulation. - Nesrine Aissa; Louis Douteau; Emmanuelle Abisset-Chavanne; Hugues Digonnet; Patrice Laure; Luisa Silva (Entropy, 2021)

An efficient deep learning strategy for real-time semantic segmentation of trees for embedded systems. - Pierre Leroy; Emmanuelle Abisset-Chavanne; Régis Pommier; Marco Montemurro (Eng. Appl. Artif. Intell., 2025)

A progressive self-supervised learning framework: From fault diagnosis to electric motor wear prediction. - Morgane Suhas; Emmanuelle Abisset-Chavanne; Pierre-André Rey (Expert Syst. Appl., 2025)