Abstract:As a graphene-like structural material, h-BN possesses many superior properties. Owning to their enhanced qualities such as simple device structure, low power consumption, good scalability potential and so on,h-BN memristors are receiving increasing extensive attention, and are currently considered to hold great application prospects in the fields of computer computing and storage, artificial neural networks and neuromorphic computing. In this paper, classification of memristors is introduced. The resistive switching mechanism of the h-BN memristor is discussed. The research status of h-BN memristor is reviewed. Finally, the current challenges of h-BN memristor are pointed out, and conclude with an outlook on the future direction of development.