PROJECT TITLE :

Ultracompact Graphene Multigate Variable Resistor for Neuromorphic Computing

ABSTRACT:

Brain-galvanized or neuromorphic computing has been proposed as a method to overcome the limitations of the von-Neumann design. Neuromorphic computing relies on an array of neurons interconnected domestically through synapses to perform computing functions like Pattern Recognition and Image Processing. Neuromorphic computing with CMOS-based circuits has limited utility thanks to the comparatively large area required by neurons and synapses, limiting the dimensions of the neuromorphic network implementable on chip. During this paper, we present a novel ultracompact graphene variable resistor that may be used to implement each neurons and synapses. To illustrate the functionality of the proposed devices, we have a tendency to present a three-bit digitally controlled synapse prototype that occupies three μm × nine.three μm. The proposed devices pave the manner for top-performance massive neuromorphic networks which will be integrated with CMOS to enhance its functionality or for beyond CMOS computation.