首页 | 本学科首页   官方微博 | 高级检索  
     


Reconfigurable Logic‐in‐Memory and Multilingual Artificial Synapses Based on 2D Heterostructures
Authors:Xiong Xiong  Jiyang Kang  Qianlan Hu  Chengru Gu  Tingting Gao  Xuefei Li  Yanqing Wu
Abstract:Nonvolatile logic devices have attracted intensive research attentions recently for energy efficiency computing, where data computing and storage can be realized in the same device structure. Various approaches have been adopted to build such devices; however, the functionality and versatility are still very limited. Here, 2D van der Waals heterostructures based on direct bandgap materials black phosphorus and rhenium disulfide for the nonvolatile ternary logic operations is demonstrated for the first time with the ultrathin oxide layer from the black phosphorus serving as the charge trapping as well as band‐to‐band tunneling layer. Furthermore, an artificial electronic synapse based on this heterostructure is demonstrated to mimic trilingual synaptic response by changing the input base voltage. Besides, artificial neural network simulation based on the electronic synaptic arrays using the handwritten digits data sets demonstrates a high recognition accuracy of 91.3%. This work provides a path toward realizing multifunctional nonvolatile logic‐in‐memory applications based on novel 2D heterostructures.
Keywords:2D devices  artificial neural networks  multilingual synapses  nonvolatile ternary logic  van der Waals heterostructures
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号