2D networks of interconnected nano-objets (nanowires, nanoparticles, molecules) are experimentally and theoretically explored to implement unconventional computing machines, and especially reservoir computing.
We discuss several key features of 2D networks of molecularly functionalized nanoparticles (called NMN : nanoparticle molecule network) 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. We discuss the electron transport properties of some molecules of interest for chemical and biochemical sensing with these NMNs reservoir computing approaches, combining sensing and computing in a single nanoscale device.
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