Your browser doesn't support javascript.
loading
Multi-level flash memory device based on stacked anisotropic ReS2-boron nitride-graphene heterostructures.
Wu, Enxiu; Xie, Yuan; Wang, Shijie; Zhang, Daihua; Hu, Xiaodong; Liu, Jing.
Affiliation
  • Wu E; State Key Laboratory of Precision Measurement Technology and Instruments, School of Precision Instruments and Opto-electronics Engineering, Tianjin University, No. 92 Weijin Road, Tianjin, 300072, China. enxiuwu@tju.edu.cn xdhu@tju.edu.cn jingliu_1112@tju.edu.cn.
Nanoscale ; 12(36): 18800-18806, 2020 Sep 28.
Article in En | MEDLINE | ID: mdl-32970061
ABSTRACT
Charge-trapping memory devices based on two-dimensional (2D) material heterostructures possess an atomically thin structure and excellent charge transport capability, making them promising candidates for next-generation flash memories to achieve miniaturized size, high storage capacity, fast switch speed, and low power consumption. Here, we report a nonvolatile floating-gate memory device based on an ReS2/boron nitride/graphene heterostructure. The implemented ReS2 memory device displays a large memory window exceeding 100 V, leading to an ultrahigh current ratio over 108 between programming and erasing states. The ReS2 memory device also exhibits an ultrafast switch speed of 1 µs. In addition, the device can endure hundreds of switching cycles and shows stable retention characteristics with ∼40% charge remaining after 10 years. More importantly, taking advantage of its anisotropic electrical properties, a single ReS2 flake can achieve direction-sensitive multi-level data storage to enhance the data storage density. On the basis of these characteristics, the proposed ReS2 memory device is potentially able to serve the entire memory device hierarchy, meeting the need for scalability, capacity, speed, retention, and endurance at each level.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Nanoscale Year: 2020 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Nanoscale Year: 2020 Type: Article