Energy‐Efficient Operation Conditions of MoS2‐Based Memristors

Abstract

Sufficient energy consumption for conventional information processing makes it necessary to look for new computational methods. One of the possible solutions to this problem is neuromorphic computations using memristive devices. Memristors based on molybdenum disulfide () are a promising way to provide a sizeable amount of hysteresis at low energy costs. Herein, different configurations of memristors as well as the mechanisms involved in hysteresis formation are shown. Bottom gated configuration is beneficial in terms of hysteresis area and energy efficiency. The impact of device channel dimensions on the hysteresis area and energy consumption is discussed. Different operation conditions with triangular, rectangular, sinusoidal, and sawtooth drain‐to‐source pulses are simulated, and rectangular pulses demonstrate the highest energy efficiency. The study shows the potential to realize low‐power neuromorphic systems using memristive devices.