An artificial neural network chip based on two-dimensional semiconductor

Recently,research on two-dimensional (2D) semiconductors has begun to translate from the fundamental investigation into rudimentary functional circuits.In this work,we unveil the first functional MoS2artificial neural network (ANN) chip,including multiply-and-accumulate (MAC),memory and activation function circuits.Such MoS2ANN chip is realized through fabricating 818 field-effect transistors (FETs) on a wafer-scale and high-homogeneity MoS2film,with a gate-last process to realize top gate structured FETs.A 62-level simulation program with integrated circuit emphasis (SPICE) model is utilized to design and optimize our analog ANN circuits.To demonstrate a practical application,a tactile digit sensing recognition was demonstrated based on our ANN circuits.After training,the digit recognition rate exceeds 97%.Our work not only demonstrates the protentional of 2D semiconductors in wafer-scale integrated circuits,but also paves the way for its future application in AI computation.