Programmable Multilevel Memtransistors Based on van der Waals Heterostructures

Abstract Neuromorphic computing that mimics the energy‐efficient cortical neural network in the human brain is attractive because of its possibility to process complex and massive data sets and achieve fast computing capability. Herein, a heterosynaptic and programmable memtransistor architecture with high computing functionality is reported by monolithically integrating a hexagonal boron nitride (h‐BN) memristor with a molybdenum disulfide (MoS2) transistor. Memristors consisting of a vertically stacked van der Waals materials (multilayer graphene (MLG) and h‐BN) exhibit a stable bipolar resistive switching behavior with a memory window more than three orders of magnitude due to the formation and rupture of the metallic filament within the h‐BN layer. By controlling the resistance state of the h‐BN memristor, the behaviors of the memtransistor can be programmed with a high switching rat…