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Conference Papers Year : 2023

Advanced computational design of complex nanostructured photonic devices using high order discontinuous Galerkin methods and statistical learning global optimization

Abstract

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) with matter is a subject of rapidly increasing scientific importance and technological relevance. Indeed, the corresponding science, referred to as nanophotonics, aims at using nanoscale light-matter interactions to achieve an unprecedented level of control on light. Nanophotonics encompasses a wide variety of topics, including metamaterials, plasmonics, high resolution imaging, quantum nanophotonics and functional photonic materials. Previously viewed as a largely academic field, nanophotonics is now entering the mainstream, and will play a major role in the development of exciting new products, ranging from high efficiency solar cells to personalized health monitoring devices able to detect the chemical composition of molecules at ultralow concentrations. In this talk, we present our recent efforts and achievements toward the development of innovative numerical methodologies for the design of nanoscale photonic devices.
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Dates and versions

hal-04405929 , version 1 (19-01-2024)

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  • HAL Id : hal-04405929 , version 1

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Mahmoud Elsawy, Alexis Gobé, Stéphane Lanteri, Guillaume Leroy, Claire Scheid. Advanced computational design of complex nanostructured photonic devices using high order discontinuous Galerkin methods and statistical learning global optimization. M2P 2023 - First International Conference Math 2 Product: Emerging Technologies in Computational Science for Industry, Sustainability and Innovation, May 2023, Taormina (Sicile), Italy. ⟨hal-04405929⟩
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