Zobrazeno 1 - 10
of 426
pro vyhledávání: '"Girard, Christian"'
Autor:
Majorel, Clément, Patoux, Adelin, Estrada-Real, Ana, Urbaszek, Bernhard, Girard, Christian, Arbouet, Arnaud, Wiecha, Peter R.
Publikováno v:
Nanophotonics, 11(16), 3663-3678, 2022
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 modes that are excited by a specific illumination. In particular the stud
Externí odkaz:
http://arxiv.org/abs/2204.13402
Infrared nanoplasmonic properties of hyperdoped embedded Si nanocrystals in the few electrons regime
Autor:
Zhang, Meiling, Poumirol, Jean-Marie, Chery, Nicolas, Majorel, Clment, Demoulin, Rémi, Talbot, Etienne, Rinnert, Hervé, Girard, Christian, Cristiano, Filadelfo, Wiecha, Peter R., Hungria, Teresa, Paillard, Vincent, Arbouet, Arnaud, Pécassou, Béatrice, Gourbilleau, Fabrice, Bonafos, Caroline
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 silica matrix. In small SiNCs, with radius ranging from 2.6 to 5.5 nm, th
Externí odkaz:
http://arxiv.org/abs/2204.13010
Publikováno v:
ACS Photonics 9(2), 575-585 (2022)
Optical interactions have an important impact on the optical response of nanostructures in complex environments. Accounting for interactions in large ensembles of structures requires computationally demanding numerical calculations. In particular if
Externí odkaz:
http://arxiv.org/abs/2110.02109
Autor:
Wiecha, Peter R., Majorel, Clément, Arbouet, Arnaud, Patoux, Adelin, Brûlé, Yoann, Francs, Gérard Colas des, Girard, Christian
Publikováno v:
Computer Physics Communications 270, 108142 (2022)
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 propagator, which allows to solve cost-efficiently monochromatic problems with
Externí odkaz:
http://arxiv.org/abs/2105.04587
Publikováno v:
Photonics Research 9(3), B182-B200 (2021)
Deep learning in the context of nano-photonics is mostly discussed in terms of its potential for inverse design of photonic devices or nanostructures. Many of the recent works on machine-learning inverse design are highly specific, and the drawbacks
Externí odkaz:
http://arxiv.org/abs/2011.12603
Autor:
Poumirol, Jean-Marie, Majorel, Clément, Chery, Nicolas, Girard, Christian, Wiecha, Peter R., Mallet, Nicolas, Larrieu, Guilhem, Cristiano, Fuccio, Monflier, Richard, Royet, Anne-Sophie, Alba, Pablo Acosta, Kerdiles, Sébastien, Paillard, Vincent, Bonafos, Caroline
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 spectral window between 2 and 5 $\mu$m by adjusting the free carrier c
Externí odkaz:
http://arxiv.org/abs/2011.07779
Publikováno v:
JOSA B 37(5), 1474-1484 (2020)
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 atomic clusters can supply more information by simultaneously revealing bot
Externí odkaz:
http://arxiv.org/abs/1912.06023
Autor:
Patoux, Adelin, Majorel, Clément, Wiecha, Peter R., Cuche, Aurélien, Muskens, Otto L., Girard, Christian, Arbouet, Arnaud
Publikováno v:
Phys. Rev. B 101, 235418 (2020)
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 tensors. Here, we propose a universal method to extract the different compon
Externí odkaz:
http://arxiv.org/abs/1912.04124
Autor:
Wiecha, Peter R., Majorel, Clément, Girard, Christian, Cuche, Aurélien, Paillard, Vincent, Muskens, Otto L., Arbouet, Arnaud
Publikováno v:
Optics Express 27(20), 29069-29081 (2019)
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 Green dyadic method and evolutionary optimization (EO). Without any init
Externí odkaz:
http://arxiv.org/abs/1906.11822