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Cognitive Networks for Intelligent Materials and Devices (COGNET)
Start date: Jun 1, 2013, End date: May 31, 2018 PROJECT  FINISHED 

"COGnitive NETwork (COGNET) is a new technology platform for materials, sensor and device design that exploits unique and hitherto unrecognised properties of random nanowire (NW) networks. These networks—comprised of metallic or semiconducting NWs connected to each other via junctions with controllably random property distributions—lead to new and unexpected levels of connectivity that are inherently scale dependent, creating opportunities for entirely new kinds of self-organised materials and devices. We propose to establish the ground rules for manipulating connectivity in NW networks. By choosing appropriate NWs and incorporating junctions with the approprate properties COGNET will enable the fabrication of (i) intelligent materials, (ii) neural networks and (iii) memory devices. Sequenced voltage pulse and back-gating techniques will in turn address and manipulate specific junctions or sets of junctions to demonstrate even higher density memory and in the case of neural networks, the possibility synaptic plasticity and self-learning."
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