Light-stimulatable molecules/nanoparticles networks for switchable logical functions and reservoir computing

Yannick Viero, David Guérin, Anton Vladyka, Fabien Alibart, Stéphane Lenfant, M. Calame, Dominique Vuillaume

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Abstract The fabrication and electron transport properties of nanoparticles self-assembled networks (NPSAN) of molecular switches (azobenzene derivatives) interconnected by Au nanoparticles are reported, and optically driven switchable logical operations associated to the light-controlled switching of the molecules are demonstrated. The switching yield is up to 74%. It is also demonstrated that these NPSANs are prone to light-stimulable reservoir computing. The complex nonlinearity of electron transport and dynamics in these highly connected and recurrent networks of molecular junctions exhibits rich high harmonics generation (HHG) required for reservoir computing approaches. Logical functions and HHG are controlled by the isomerization of the molecules upon light illumination. These results, without direct analogs in semiconductor devices, open new perspectives to molecular electronics in unconventional computing.
Original languageEnglish
Article number1801506
Number of pages1
JournalAdvanced Functional Materials
Volume28
Issue number39
Early online date6 Aug 2018
DOIs
Publication statusPublished - 26 Sep 2018

Keywords

  • molecular devices
  • molecular switches
  • nanoparticles
  • reconfigurable circuits
  • reservoir computing

Fingerprint

Dive into the research topics of 'Light-stimulatable molecules/nanoparticles networks for switchable logical functions and reservoir computing'. Together they form a unique fingerprint.

Cite this