记忆电阻器
异质结
材料科学
钥匙(锁)
冯·诺依曼建筑
光电子学
功能(生物学)
记忆晶体管
计算机科学
纳米技术
电阻随机存取存储器
电子工程
电气工程
工程类
计算机安全
电压
进化生物学
生物
操作系统
作者
Wenguang Zhang,Hui Gao,Chunsan Deng,Ting Lv,Sanlue Hu,Hao Wu,Songyan Xue,Yufeng Tao,Leimin Deng,Wei Hao Xiong
出处
期刊:Nanoscale
[Royal Society of Chemistry]
日期:2021-01-01
卷期号:13 (26): 11497-11504
被引量:106
摘要
Memristors are regarded as one of the key devices to break through the traditional Von Neumann computer architecture due to their capability of simulating the function of neural synapses. Among various memristive materials, two-dimensional (2D) materials are promising candidates to build advanced memristors with extremely high integration density and low power consumption. However, memristors based on 2D materials usually suffer from poor endurance and retention due to their vulnerability to material degradation during the formation/fusing processes of conductive filament channels within the switching media of 2D materials. Here, a new memristor architecture based on a WS2/MoS2 2D semiconducting heterojunction (metal/heterojunction/metal, MHM) is proposed, which is completely different from the conventional metal/insulator/metal (MIM) sandwich structure. Through the introduction of a type-II 2D heterojunction, a resistance switching mechanism based on band modulation rather than the conductive filaments can be realized to eliminate the material degradation during the set/reset processes. A prototype MHM memristor based on the WS2/MoS2 heterojunction is successfully developed with a large switching on/off ratio up to 104 and a clearly extended endurance over 120 switching cycles, showing the advantage of the 2D WS2/MoS2 heterojunction over the individual MoS2 or WS2 layers in memristive performance. The proposed method for the MHM-type 2D memristor has the potential to achieve a large-scale integrated memristor matrix with low power consumption and high integration density, which is promising for future artificial intelligence and brain-like computing systems.
科研通智能强力驱动
Strongly Powered by AbleSci AI