activity
20152025
most citedDeep learning in nano-photonics: inverse design and beyond

494 citations · 1.9k across the 37 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

physics.app-ph2018★ 126 cited

Pushing the limits of optical information storage using deep learning

Peter R. Wiecha, Aurélie Lecestre, Nicolas Mallet +1

Diffraction drastically limits the bit density in optical data storage. To increase the storage density, alternative strategies involving supplementary recording dimensions and rob…

physics.app-ph2018★ 15 cited

Designing Thermoplasmonic Properties of Metallic Metasurfaces

Ch. Girard, P. R. Wiecha, A. Cuche +1

Surface plasmons have been used recently to generate heat nanosources, the intensity of which can be tuned, for example, with the wavelength of the excitation radiation. In this pa…

physics.comp-ph2018★ 63 cited

pyGDM -- A python toolkit for full-field electro-dynamical simulations and evolutionary optimization of nanostructures

Peter R. Wiecha

pyGDM is a python toolkit for electro-dynamical simulations in nano-optics based on the Green Dyadic Method (GDM). In contrast to most other coupled-dipole codes, pyGDM uses a gene…

physics.app-ph2018

Fano-Resonances in High Index Dielectric Nanowires for Directional Scattering

Peter R. Wiecha, Aurélien Cuche, Houssem Kallel +8

High refractive index dielectric nanostructures provide original optical properties thanks to the occurrence of size- and shape-dependent optical resonance modes. These modes commo…

cond-mat.mes-hall2018★ 32 cited

Enhancement of electric and magnetic dipole transition of rare-earth doped thin films tailored by high-index dielectric nanostructures

Peter R. Wiecha, Clément Majorel, Christian Girard +7

We propose a simple experimental technique to separately map the emission from electric and magnetic dipole transitions close to single dielectric nanostructures, using a few nanom…