Predicting Laser-Induced Colors of Random Plasmonic Metasurfaces and Optimizing Image Multiplexing Using Deep Learning - Archive ouverte HAL Access content directly
Journal Articles ACS Nano Year : 2022

Predicting Laser-Induced Colors of Random Plasmonic Metasurfaces and Optimizing Image Multiplexing Using Deep Learning

Hongfeng Ma
Laboratoire Hubert Curien
Nicolas Dalloz
  • Function : Author
HID Global CID
Amaury Habrard
  • Function : Author
Laboratoire Hubert Curien
Marc Sebban
  • Function : Author
Laboratoire Hubert Curien
Florian Sterl
University of Stuttgart
Harald Giessen
  • Function : Author
Universität Stuttgart [Stuttgart]
Mathieu Hebert
  • Function : Author
Laboratoire Hubert Curien
Nathalie Destouches

Domains

Physics [physics] Physics [physics] Optics [physics.optics]

Christophe Hubert  : Connect in order to contact the contributor

https://hal-ujm.archives-ouvertes.fr/ujm-03833058

Submitted on : Friday, October 28, 2022-10:47:53 AM

Last modification on : Friday, March 24, 2023-2:53:29 PM

Not file

Dates and versions

ujm-03833058 , version 1 (28-10-2022)

Identifiers

Cite

Hongfeng Ma, Nicolas Dalloz, Amaury Habrard, Marc Sebban, Florian Sterl, et al.. Predicting Laser-Induced Colors of Random Plasmonic Metasurfaces and Optimizing Image Multiplexing Using Deep Learning. ACS Nano, 2022, 16 (6), pp.9410-9419. ⟨10.1021/acsnano.2c02235⟩. ⟨ujm-03833058⟩

Export

BibTeX TEI Dublin Core DC Terms EndNote Datacite

Collections

UNIV-ST-ETIENNE IOGS CNRS PARISTECH UDL
7 View
0 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More