Research on Two-dimensional MXenes Based Synaptic Devices for the Future In-memory Computing

Abstract

Nowadays, the synaptic devices for the in-memory computing have been widely investigated due to the high-efficiency computing potential and the ability to mimic biological neurobehavior. In this work, the two-terminal and three-terminal synaptic devices based on the MXenes, a kind of two-dimensional materials, have been proposed. The typical synaptic behaviors including long-term potentiation and depression (LTP/D) have also been studied. Moreover, through combining the LTP/D property with the simulator based in artificial neural network (ANN), a task of handwritten digital image recognition has been successfully operated. Finally, based on the synaptic effect under light stimulation, an application for storing and processing sequence information of different light wavelengths has also been proposed and reported.