Who am I

Greetings!! I'm a research scientist at CEA—French Atomic Energy and Alternative Energies Commission. My expertise includes high performance computing, finite element method, Boltzmann transport, and meshing. I hold a PhD in computational physics, a master's in computational fluid dynamics, and a bachelor's in aerospace engineering. In a nutshell, I'm the wizard of numbers and equations, blending science and technology to unlock the secrets of the universe.

Areas of Research

- Finite Element Methods
- Parallel computing
- Meshing

- Mesh Adaption
- Radiative transport
- Computational Fluid Dynamics

Codes that I am developing

SALOME - Pre/post-processing scientific computing tool for CAD, meshing, visualization
ArcaneFEM - Parallel FEM solver based on CPU-GPU parallelism
PSD - Massively parallel Solid/Structural/Seismic Dynamics FEM solver
top-ii-vol - Massively parallel geophysics mesher-partitioner tool
PDMT - Parallel Dual Meshing Tool, is a polyhedral meshing/remsehing too
medio - library that facilitates input and output of mesh files for FreeFEM in the med format

Current areas of research

Polyhedral Meshing

Polyhedral meshing is gaining importance in modern computational simulations. It offers advantages in terms of accuracy, adaptability to complex geometries, efficiency in parallel computing, and improved convergence of numerical solvers. These benefits make polyhedral meshing a valuable tool in various scientific and engineering applications.

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Mesh Adaption

Mesh adaptation is crucial in computational simulations as it enables the dynamic adjustment of the mesh based on evolving solution characteristics. By refining or coarsening the mesh in specific regions, mesh adaptation improves accuracy in critical areas, reducing computational costs by avoiding unnecessary refinement elsewhere. This is particularly important for capturing complex geometries, handling singularities, and optimizing element types, ensuring efficient and reliable simulations. Mesh adaptation in a nutshell helps in making simulations more robust in dynamic environments.

Finite Element Solver (CPU/GPU)

A parallel FEM solver is indispensable in many computational simulations as it leverages the power of parallel processing to tackle complex and large problems more efficiently. By dividing the computational workload among multiple processors (CPU/GPU/Threads), parallel FEM solvers dramatically reduce simulation time for large-scale models. This is particularly crucial in fields such as structural mechanics, fluid dynamics, and electromagnetics, where simulations involve intricate geometries and intricate physical interactions.

HPC for Fracture

HPC plays a vital role in advancing phase-field fracture FEM simulations. The intricate nature of fracture phenomena demands substantial computational resources for phase-field simulations due to fine meshing constrain. HPC enables the efficient handling of fine mesh refinements necessary for accurately tracking crack initiation and propagation. Not only this, HPC is also indispensable for enhancing the accuracy, efficiency, and scalability of phase-field fracture simulations, facilitating a deeper understanding of complex fracture mechanics in diverse materials.