To reproduce and study complex systems

We design experimental setups to reproduce natural or industrial systems, and study their behaviour under controlled conditions. This experimental strategy is coupled with the development of measuring tools and methods, sensors and imaging techniques, to better describe the mechanics at play in such complex systems and access to key physical quantities necessary to understand their behaviour.

To put the complexity into equations

We integrate our research results into new numerical models with an increasing level of complexity. We work with commercial tools and we also develop our own codes to better adapt to our various objects of study and research topics : mutiphase flows, solid deformation and failure, soft matter dynamics and cell motion, granular flows, complex fluids and suspensions.

To predict the behaviours under complex conditions

Thanks to our models, we are able to simulate the behaviours of complex systems and to predict their evolution under changing conditions. Our simulation tools are used for numerical experimentations and for the design of new technologies, the enhancement of industrial processes, and the development of innovative materials. We have access to high performance computing facilities to run large calculations on multiple processors.

To serve innovation

A large part of our activity is carried out in collaboration with industrial partners. Our main application domains relate to process engineering, remediation and recycling, energy production and storage, aeronautics and propulsion, evironmental management and risk assessment, civil engineering, buildings and constructions, biorefinery, biobased-products and biomass valorisation, engineering for human health.