4.8 Review

Memristor Based on Inorganic and Organic Two-Dimensional Materials: Mechanisms, Performance, and Synaptic Applications

Journal

ACS APPLIED MATERIALS & INTERFACES
Volume 13, Issue 28, Pages 32606-32623

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acsami.1c07665

Keywords

2D materials; memristor; resistive switching; synaptic plasticity; information technology

Funding

  1. National Natural Science Foundation of China [61974097]
  2. Sichuan Youth Science and Technology Foundation [2019JDJQ0052]
  3. Hong Kong RGC GRF [PolyU 153023/19P]

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2D materials, with their unique properties and stable nonvolatile resistive switching behaviors, have shown great potential in the development of memristors for applications in high-density memory technology and neuromorphic computing.
A memristor is a two-terminal device with nonvolatile resistive switching (RS) behaviors. Recently, memristors have been highly desirable for both fundamental research and technological applications because of their great potential in the development of high-density memory technology and neuromorphic computing. Benefiting from the unique two-dimensional (2D) layered structure and outstanding properties, 2D materials have proven to be good candidates for use in gate-tunable, highly reliable, heterojunction-compatible, and low-power memristive devices. More intriguing, stable and reliable nonvolatile RS behaviors can be achieved in multi- and even monolayer 2D materials, which seems unlikely to be achieved in traditional oxides with thicknesses less than a few nanometers because of the leakage currents. Moreover, such two-terminal devices show a series of synaptic functionalities, suggesting applications in simulating a biological synapse in the neural network. In this review article, we summarize the recent progress in memristors based on inorganic and organic 2D materials, from the material synthesis, device structure and fabrication, and physical mechanism to some versatile memristors based on diverse 2D materials with good RS properties and memristor-based synaptic applications. The development prospects and challenges at the current stage are then highlighted, which is expected to inspire further advancements and new insights into the fields of information storage and neuromorphic computing.

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