activity
20062023
most citedA newcomer's guide to deep learning for inverse design in nano-photonics

69 citations · 452 across the 35 of their papers we have counts for

collaborators
Showing physics.opticsShow all

5 papers · 1 filter

physics.optics2023★ 21 cited

Illustrated tutorial on global optimization in nanophotonics

Pauline Bennet, Denis Langevin, Chaymae Essoual +4

Numerical optimization for the inverse design of photonic structures is a tool which is providing increasingly convincing results -- even though the wave nature of problems in phot…

physics.optics2023★ 69 cited

A newcomer's guide to deep learning for inverse design in nano-photonics

Abdourahman Khaireh-Walieh, Denis Langevin, Pauline Bennet +3

Nanophotonic devices manipulate light at sub-wavelength scales, enabling tasks such as light concentration, routing, and filtering. Designing these devices is a challenging task. T…

physics.optics2020★ 10 cited

Analysis and fabrication of a photonic crystal based anti-reflective coating for photovoltaics generated by evolutionary optimization

Pauline Bennet, Perrine Juillet, Sara Ibrahim +7

We optimize multilayered anti-reflective coatings for photovoltaic devices, using modern evolutionary algorithms. We apply a rigorous methodology to show that a given structure, wh…

physics.optics2019★ 3 cited

Ultra thin anti-reflective coatings designed using Differential Evolution

Emmanuel Centeno, Amira Farahoui, Rafik Smaali +4

We use a state-of-the-art optimization algorithm combined with a careful methodology to find optimal anti-reflective coatings. Our results show that ultra thin structures (less tha…

physics.optics2018★ 1 cited

Evolutionary algorithms converge towards evolved biological photonic structures

Mamadou Aliou Barry, Vincent Berthier, Bodo D. Wilts +6

Nature features a plethora of extraordinary photonic architectures that have been optimized through natural evolution. While numerical optimization is increasingly and successfully…