Light-Stimulatable Molecules/Nanoparticles Networks for Switchable Logical Functions and Reservoir Computing

Viero, Yannick and Guérin, David and Vladyka, Anton and Alibart, Fabien and Lenfant, Stéphane and Calame, M. and Vuillaume, Dominique. (2018) Light-Stimulatable Molecules/Nanoparticles Networks for Switchable Logical Functions and Reservoir Computing. Advanced Functional Materials, 28 (39). p. 1801506.

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Official URL: https://edoc.unibas.ch/94488/

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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.
Faculties and Departments:05 Faculty of Science > Departement Physik
05 Faculty of Science > Departement Physik > Physik
UniBasel Contributors:Calame, Michel
Item Type:Article, refereed
Article Subtype:Research Article
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:08 May 2023 13:14
Deposited On:08 May 2023 13:14

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