LRC MESO
Scientific referents
Coordinators: Frédéric Dias, Renaud Motte
Associated researchers :
- Centre Borelli : F. Dias, C. Labourdette, M. Mougeot, N. Vayatis
- CEA : D. Bouche, B.J. Gréa, C. Millet, R. Motte, R. Watteaux, J.C. Weill
A partnership between physicists and mathematicians
Founded in june 2005, under the impulse of Jean-Michel Ghidaglia and Daniel Bouche, the Laboratoire de Recherche Conventionné de Modélisation Mésoscopique (LRC MESO) formalizes the partnership between Centre Borell (Centre de Mathématiques et de leurs applications, CMLA, before 2020) and four departments of CEA DAM Île de France (Commissariat à l'énergie atomique et aux énergies alternatives), a center for theoretical and applied physics and a major player in the HPC field (High-Perfomance Computing).
The LRC MESO provides the appropriate framework an environment for collaboration between physicists who design and operate numerical models, and mathematicians who develop and analyze numerical methods for real problems, up to code design.
Initially, the cooperation was based on CMLA's skills in numerical analysis and scientific computing and those of CEA in solid state physics, plasmas, flows and electromagnetism. Its spectrum has since broadened: the research program now includes data-related aspects such as uncertainty control for simulation codes, image processing and statistical learning methods.
The LRC has permanent members, mathematicians from the Centre Borelli (numerical analysis of scientific computation, design and realization of simulation codes) and physicists from the CEA (solid state physics, plasma physics, flow physics, electromagnetism) and welcomes PhD students, post-docs and researchers working on CEA issues.
The LRC relies on the very important computing resources of CEA DAM Ile de France, a major player in High Performance Computing.
A forum for engineers and researchers
The LRC Meso has also organized two thematic schools over the past ten years:
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a Thematic School on Numerical Simulation,
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a Thematic School on Uncertainties in Scientific Computing.
Alternating theoretical courses, tutorials and round-table discussions, the aim of these schools is to enable engineers from different backgrounds to share their experience on themes of common interest, and to develop their expertise by confronting their points of view with those of partners from the academic world.
Research topics
- Mesoscopic and microscopic modeling of materials (inert or energetic)
- Application of kinetic equations
- Compressible and incompressible fluid mechanics
- Electromagnetism: particle beams and diffraction
- Mathematical analysis
- Methods and algorithms for statistical analysis and learning
- High performance computing
- Evaluation of uncertainties
- Image processing