Automatix: Automating material modeling for composable and learnable behaviors

Welcome to the webpage of the Automatix ERC project!

Automatix aims to improve the modeling of material behavior in solid mechanics. Accurately capturing complex phenomena (such as plasticity, damage, or environmental effects) remains a major challenge in many applications. Automatix leverages advances in machine learning to automatically build models from experimental data while directly embedding physical and mathematical knowledge within the learning architecture. This hybrid approach produces more reliable models, consistent with mechanical laws and less dependent on large datasets.

A key outcome will be an open-source, modular, and high-performance library accessible to both academia and industry. Automatix will be applied in particular to the modeling of 3D-printed concrete at the Navier laboratory, to better predict complex phenomena such as material curing and crack formation.

• Principal Investigator: Jeremy Bleyer
• Funding period: 2026-2031
• Host institution: Ecole Nationale des Ponts et Chaussées, IP Paris.

Funded by the European Union (ERC, Automatix, CoG project no 101229452). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them.

Job offers

Job offers can be found here. Spontaneous applications are also welcome. If you want to apply, just contact Jeremy Bleyer and directly provide all relevant elements: CV, publications, available transcripts, reference letters or names of people who can recommend you.