69 citations · 146 across the 6 of their papers we have counts for
3 papers · 1 filter
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…
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…
Inverse design with flexible design targets via deep learning: Tailoring of electric and magnetic multipole scattering from nano-spheres
Ana Estrada-Real, Abdourahman Khaireh-Walieh, Bernhard Urbaszek +1
Deep learning is a promising, ultra-fast approach for inverse design in nano-optics, but despite fast advancement of the field, the computational cost of dataset generation, as wel…