2D Material Memristor Devices for Neuromorphic Computing

Abstract

Neuromorphic computing offers to overcome the shortcomings associated with traditional von Neumann architectures. These suffer from bottlenecks caused by the separation of memory and processing, leading to large latency and high power consumption. One of the leading methods of achieving this is using memristors. The mass development of memristors presents a number of challenging problems which may be addressed through the use of 2D materials which offer a range of unique properties. In this work we explore the different 2D materials which demonstrate potential to be used as memristors. We explore some applications of such memristors and assess the challenges and future directions this area could develop.