AI Article Synopsis
- The study focuses on analyzing low-frequency noise, specifically flicker noise (1/f noise), in 2D networks made up of functionalized gold nanoparticles.
- Researchers explored the noise characteristics of various molecular components, including octanethiol, oleylamine, polyoxometalate derivatives, and azobenzene derivatives.
- The objective was to compare the noise behaviors of these molecules to determine the most suitable candidates for constructing reservoir computing molecular devices using nanoparticle-molecule networks.
Article Abstract
We studied the low-frequency noise, flicker noise, also referred to as 1/ noise, in 2D networks of molecularly functionalized gold nanoparticles (NMN: nanoparticle-molecule network). We examined 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 compared their 1/ noise behaviors. These noise metrics are used to evaluate which molecules are the best candidates to build reservoir computing molecular devices based on the NMNs.
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| http://dx.doi.org/10.1039/d4nr02428a | DOI Listing |
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