Low frequency noise in nanoparticle-molecule networks and implications for in-materio reservoir computing - Ecole Supérieure de Physique et de Chimie Industrielles de la Ville de Paris - PSL Access content directly
Preprints, Working Papers, ... Year : 2024

Low frequency noise in nanoparticle-molecule networks and implications for in-materio reservoir computing

Abstract

We study the low-frequency noise (LFN), i.e. flicker noise, also referred to as 1/f noise, in 2D networks of molecularly functionalized gold nanoparticles (NMN: nanoparticle-molecule network). We examine the noise behaviors of the NMN hosting alkyl chains (octanethiol), fatty acid oleic acids (oleylamine), redox molecule switches (polyoxometalate derivatives) or photo-isomerizable molecules (azobenzene derivatives) and we compare their 1/f noise behaviors. These noise metrics are used to evaluate which molecules are the best candidates to build in-materio reservoir computing molecular devices based on NMNs.
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Dates and versions

hal-04618008 , version 1 (19-06-2024)

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Cécile Huez, David Guérin, Florence Volatron, Anna Proust, Dominique Vuillaume. Low frequency noise in nanoparticle-molecule networks and implications for in-materio reservoir computing. 2024. ⟨hal-04618008⟩
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