activity
20182025
most citedDeep learning enabled strategies for modelling of complex aperiodic plasmonic metasurfaces of arbitrary size

41 citations · 195 across the 10 of their papers we have counts for

collaborators

10 papers

physics.optics2025★ 3 cited

TorchGDM: A GPU-Accelerated Python Toolkit for Multi-Scale Electromagnetic Scattering with Automatic Differentiation

Sofia Ponomareva, Adelin Patoux, Clément Majorel +5

We present "torchGDM", a numerical framework for nano-optical simulations based on the Green's Dyadic Method (GDM). This toolkit combines a hybrid approach, allowing for both fully…

physics.optics2022

Infrared nanoplasmonic properties of hyperdoped embedded Si nanocrystals in the few electrons regime

Meiling Zhang, Jean-Marie Poumirol, Nicolas Chery +13

Using Localized Surface Plasmon Resonance (LSPR) as an optical probe we demonstrate the presence of free carriers in phosphorus doped silicon nanocrystals (SiNCs) embedded in a sil…

physics.optics2022★ 1 cited

Generalizing the exact multipole expansion: Density of multipole modes in complex photonic nanostructures

Clément Majorel, Adelin Patoux, Ana Estrada-Real +4

The multipole expansion of a nano-photonic structure's electromagnetic response is a versatile tool to interpret optical effects in nano-optics, but it only gives access to the mod…

physics.optics2021★ 41 cited

Deep learning enabled strategies for modelling of complex aperiodic plasmonic metasurfaces of arbitrary size

Clément Majorel, Christian Girard, Arnaud Arbouet +2

Optical interactions have an important impact on the optical response of nanostructures in complex environments. Accounting for interactions in large ensembles of structures requir…

physics.comp-ph2021★ 34 cited

pyGDM -- new functionalities and major improvements to the python toolkit for nano-optics full-field simulations

Peter R. Wiecha, Clément Majorel, Arnaud Arbouet +4

pyGDM is a python toolkit for electro-dynamical simulations of individual nano-structures, based on the Green Dyadic Method (GDM). pyGDM uses the concept of a generalized propagato…

cond-mat.mes-hall2020★ 23 cited

Hyper-doped silicon nanoantennas and metasurfaces for tunable infrared plasmonics

Jean-Marie Poumirol, Clément Majorel, Nicolas Chery +11

We present the experimental realization of ordered arrays of hyper-doped silicon nanodisks, which exhibit a localized surface plasmon resonance. The plasmon is widely tunable in a…

cond-mat.mes-hall2019★ 8 cited

Quantum Theory of Near-field Optical Imaging with Rare-earth Atomic Clusters

Clément Majorel, Christian Girard, Aurélien Cuche +2

Scanning near-field optical imaging (SNOM) using local active probes provides in general images of the electric part of the photonic local density of states. However, certain atomi…

cond-mat.mes-hall2019★ 16 cited

Polarizabilities of complex individual dielectric or plasmonic nanostructures

Adelin Patoux, Clément Majorel, Peter R. Wiecha +4

When the sizes of photonic nanoparticles are much smaller than the excitation wavelength, their optical response can be efficiently described with a series of polarizability tensor…

physics.app-ph2019★ 37 cited

Design of plasmonic directional antennas via evolutionary optimization

Peter R. Wiecha, Clément Majorel, Christian Girard +4

We demonstrate inverse design of plasmonic nanoantennas for directional light scattering. Our method is based on a combination of full-field electrodynamical simulations via the Gr…

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…