Research
Talks and posters in international conferences
- SciML 2024 -
Workshop on Scientific Machine Learning - Strasbourg, France, July 2024
GeSONN: a proof of concept for prescribed volume shape optimization with physics informed and
symplectic neural neural networks
- CoMINDS 2024 - Workshop on
Computational and Mathematical Methods in Data Science - Delft, Netherlands, April 2024
Geometric shape optimization for Dirichlet energy with physics informed and symplectic neural
networks - Poster
Talks and posters in French conferences or seminars
- CANUM 2024 - Congrès d'Analyse Numérique -
Île de Ré, France, May 2024
Geometric shape optimization for Dirichlet energy with physics informed and symplectic neural
networks - Slides
- PhD students' seminar - Strasbourg, France, February 2024
Relaxation for shape optimisation: porous materials and homogeneisation
- Inria MACARON team seminar - Belmont, France, February 2024
GeSONN: a python framework for shape optimization with neural networks
Thesis
- M2 thesis - Shape optimization machine learning based - Supervised by V.
Michel-Dansac and Y.
Privat
- M1 thesis - AvaFrame project - Modeling and simulation of dense
quasi-3D snow avalanches, SPH method - Supervised by J.T. Fischer and M. Tonnel