Robust memristors based on layered two-dimensional materials

Author:  ["Miao Wang","Songhua Cai","Chen Pan","Chenyu Wang","Xiaojuan Lian","Ye Zhuo","Kang Xu","Tianjun Cao","Xiaoqing Pan","Baigeng Wang","Shi-Jun Liang","J. Joshua Yang","Peng Wang","Feng Miao"]

Publication:  Nature Electronics

CITE.CC academic search helps you expand the influence of your papers.

Tags:     Electronics

Abstract

Van der Waals heterostructures are formed by stacking layers of different two-dimensional materials and offer the possibility to design new materials with atomic-level precision. By combining the valuable properties of different 2D systems, such heterostructures could potentially be used to address existing challenges in the development of electronic devices, particularly those that require vertical multi-layered structures. Here we show that robust memristors with good thermal stability, which is lacking in traditional memristors, can be created from a van der Waals heterostructure composed of graphene/MoS2–xO x /graphene. The devices exhibit excellent switching performance with an endurance of up to 107 and a high operating temperature of up to 340 °C. With the help of in situ electron microscopy, we show that the thermal stability is due to the MoS2–xO x switching layer, as well as the graphene electrodes and the atomically sharp interface between the electrodes and the switching layer. We also show that the devices have a well-defined conduction channel and a switching mechanism that is based on the migration of oxygen ions. Finally, we demonstrate that the memristor devices can be fabricated on a polyimide substrate and exhibit good endurance against over 1,000 bending cycles, illustrating their potential for flexible electronic applications. Memristors that offer good thermal stability, which is lacking in traditional memristors, can be created from a van der Waals heterostructure composed of graphene/MoS2–xO x /graphene.

Cite this article

Wang, M., Cai, S., Pan, C. et al. Robust memristors based on layered two-dimensional materials. Nat Electron 1, 130–136 (2018). https://doi.org/10.1038/s41928-018-0021-4

View full text

>> Full Text:   Robust memristors based on layered two-dimensional materials

Fully memristive neural networks for pattern classification with unsupervised learning

A human pilot trial of ingestible electronic capsules capable of sensing different gases in the gut