Sébastien Court's contributions, which lie particularly in the field of solid and fluid mechanics, have been published in several highly respected international journals. The reviewers praised the submitted papers for their methodical diligence, the application of advanced and sophisticated analytical methods, and their adherence to the highest standards in the discipline in terms of rigor and originality.
In his acceptance speech, Sébastien Court humorously outlined his career and current profession as a mathematician. He emphasized the essential qualities that researchers in mathematics need: persistence, curiosity, and creativity. The key to success, he explained, lies in the fact that mathematicians are not easily deterred from solving a mathematical problem: "Even when we encounter an obstacle, we pursue the problem with great passion, to the point of becoming obsessed with it. This obsession is actually the key to proving a theorem. We think about this math problem every morning and every evening and even at night. It quite literally haunts us," said Court.
The awarded works include:
1) Relaxation approach for learning regularizers by neural networks for a class of identification problems.
Published in: Inverse Problems, 2024.
https://doi.org/10.1088/1361-6420/ad0756
This paper investigates the task of using neural networks to learn problem-specific regularization functionals for inverse problems.
2) A damped elastodynamics system under the global injectivity condition: Local wellposedness in $L^p$-spaces.
Published in: NoDEA: Nonlinear Differential Equations and Applications, 2024.
https://doi.org/10.1007/s00030-023-00889-1
This article deals with the analysis of a system that can be used to model the mechanics of the beating heart.
3) Feedback stabilization of a two-fluid surface tension system modeling the motion of a soap bubble at low Reynolds number: The two-dimensional case.
Published in: Journal of Mathematical Fluid Mechanics, 2023.
https://doi.org/10.1007/s00021-023-00841-4
This paper describes a complex system of two fluids with surface tension, which, among other things, can be used to model the motion of the surface of a soap bubble.
There is already a follow-up paper to the second article:
A hybrid optimal control problem constrained with hyperelasticity and the global injectivity condition.
Published in: Optimization Methods and Software, 2024.
http://doi.org/10.1080/10556788.2024.2400501
The DiSC warmly congratulates Sébastien Court on his outstanding achievement and this well-deserved award! Our congratulations also go out to the other award winners.