標題: High on/off ratio black phosphorus based memristor with ultra-thin phosphorus oxide layer
作者: Wang, Yudan
Wu, Facai
Liu, Xingqiang
Lin, Jun
Chen, Jui-Yuan
Wu, Wen-Wei
Wei, Jingsong
Liu, Yuan
Liu, Qi
Liao, Lei
材料科學與工程學系
Department of Materials Science and Engineering
公開日期: 4-十一月-2019
摘要: The scaling down of switching media encounters high leakage current in the traditional oxide material based memristors, resulting in high power consumption of chips. Two-dimensional (2D) materials promise an ultimate device scaling down to atomic layer thickness. Herein, black phosphorus (BP) and its self-assembly phosphorous oxide (BP) memristors are constructed, which leverages the high on/off ratio operation of oxides and low leakage current of 2D materials with high performance. The memristors exhibit reproducible and reliable switching characteristics with the on/off ratio >10(7) and data retention >10(4) s. Depending on the high reproducibility, basic "AND" and "OR" gates have been constructed on flexible substrates. Moreover, on the basis of the symmetry and linearity of conductance in the devices, the neural network simulation for supervised learning presents an online learning accuracy of 91.4%. This work opens an avenue for future flexible electronics.
URI: http://dx.doi.org/10.1063/1.5115531
http://hdl.handle.net/11536/153145
ISSN: 0003-6951
DOI: 10.1063/1.5115531
期刊: APPLIED PHYSICS LETTERS
Volume: 115
Issue: 19
起始頁: 0
結束頁: 0
顯示於類別:期刊論文