About

This page provides additional details about ANR, the funding agency making this project possible, as well as about Arts & Métiers Institute of Technology and DynFluid, the higher-education institute and research laboratory hosting the members of this project.

Agence Nationale de la Recherche (ANR)

The Agence Nationale de la Recherche (ANR) is a French institution founded in February 2005. It is tasked with funding the French scientific research activities, both public and partners-based.

It does so through a competitive call for project every year. Accepted projects are typically funded for a duration of three to four years. In 2021, 23% of the submitted projects were funded in the end, for a total budget of nearly 900 M€. The project CONMAN, accepted during the 2022 call for project, is funded through the particular program Jeunes Chercheuses et Jeunes Chercheur.

Arts et Métiers Institute of Technology

Arts et Métiers is a French engineering and research institute of higher education established in 1780 by the Duke of la Rochefoucauld-Liancourt.

Arts et Métiers has eight different campuses throughout France, fifteen research laboratories and three institutes recognized in the fields of mechanics and industrialization. It develops teaching and research activities in three main fields: (i) mechanics, materials and processes, (ii) fluids and energy systems, and (iii) design, industrialization, risk management and decision-making. The school’s training programs include about 24 research-based masters, 20 advanced masters programs and Ph. D. studies.

DynFluid Laboratory

DynFluid is an Academic research laboratory specialized in computational fluid dynamics located on the parisian campus of Arts et Métiers Institute of Technology.

Along with researchers from Arts et Métiers Institute of Technology, DynFluid also hosts two colleagues from the Conservatoire National des Arts et Métiers (CNAM). Members of DynFluid have a worlwide recognized expertise in high-performance computing for compressible turbulent flows, the development of uncertainty quantification techniques for industrial turbulence models, as well as for their studies of the hydrodynamic instabilities and physical mechanisms underpinning the transition to turbulence.