LEROY , Guillaume

In this paper, we present an overview of our innovative computational methodology based on statistical learning optimization to optimize highly efficient and robust metasurface designs. We have optimized highly efficient single-and multi-functional devices. In addition, we have extended our multi-objective optimization to account for...

Nanostructuring of materials has paved the way for manipulating and enhancing light-matter interactions, thereby opening the door for the full control of these interactions at the nanoscale. In particular, the interaction of light waves (or more general optical waves) withmatter is a subject of rapidly increasing scientific importance and...

We report on our recent achievements on the development of a suite of innovative computational tools for the study of ligh-matter interactions at the nanoscale and in particular for the inverse design of nanophotonic devices. Our software suite, named DIOGENeS (https://diogenes.inria.fr/), is organized around high-order accurate finite element...