| Issue |
Mechanics & Industry
Volume 27, 2026
A French vision of advances and prospects in mechanics: industry, research and training needs
|
|
|---|---|---|
| Article Number | 26 | |
| Number of page(s) | 41 | |
| DOI | https://doi.org/10.1051/meca/2026022 | |
| Published online | 11 June 2026 | |
Review
Computational mechanics empowered by artificial intelligence
1
PIMM, Arts et Metiers Institute of Technology, Paris, France & CNRS@CREATE, Singapore
2
Université Paris-Saclay, CentraleSupélec, ENS Paris-Saclay, CNRS, LMPS - Laboratoire de Mécanique Paris-Saclay, Gif-sur-Yvette, France
3
Univ Toulouse, IMT Mines Albi, INSA Toulouse, ISAE-SUPAERO, CNRS, ICA, Albi, France
4
Institut Jean Le Rond d'Alembert, Sorbonne Université, CNRS, Paris, France
5
SafranTech, France
* e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
15
December
2025
Accepted:
15
April
2026
Abstract
The present paper revisits recent challenges in computational mechanics where data-driven modeling offers unexpected possibilities. For that purpose, the main concepts related to data and learning are first introduced. Then, physics-based, data-driven, and hybrid modeling approaches in the different domains of mechanics: solids and structures, fluids and flow, and processing and manufacturing will be addressed. Finally, technology needs, recent advances, and remaining challenges in the industrial sector will be highlighted.
Key words: Computational mechanics / hybrid modeling / data-driven solid mechanics / data-driven fluid mechanics / data-driven manufacturing
© F. Chinesta et al., Published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.