Available on-demand - *F.SM05.01.02
Electron Transport and Complex Dynamics in 2D Nanoparticle-Molecule Networks—A Platform for Reservoir Computing
Dominique Vuillaume1
IEMN-CNRS1
Show Abstract
2D networks of interconnected nano-objets (nanowires, nanoparticles, molecules) are experimentally and theoretically explored to implement unconventional computing machines, and especially reservoir computing [1-9]. 2D networks of molecularly functionalized nanoparticles (NPs) (hereafter called NMN : nanoparticle molecule network) have emerged as an interesting approach in molecular electronics to understand fundamental electron transport mechanisms [10].
I will describe the study of NMN approaches using functional molecules self-assembled in high density 2D networks with topological structures that are intrinsically similar to the structure of a "reservoir computing". NMNs equipped with molecules which can change their electronic properties upon a given excitation (optical, chemical, ionic) are interesting to study multifunctional systems at the nanoscale (<100 nm).
I will discuss several key features of the electronic properties of these 2D networks of molecularly functionalized nanoparticles to assess their possible use for reservoir computing: highly non-linear electron transport, variability, complex/rich dynamics (harmonic, interharmonic, intermodulation distortions), co-tunneling, noise and plasmonic response [9-12]. I will also discuss the electron transport properties of some molecules of interest for the chemical and biochemical sensing with these NMNs reservoir computing approaches, combining sensing and computing in a single nanoscale device.
These approaches, without direct analogs in semiconductor nanoelectronics, would open new perspectives to molecular electronics in unconventional computing.
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