Controlling Cu Migration on Resistive Switching, Artificial Synapse, and Glucose/Saliva Detection by Using an Optimized AlO x Interfacial Layer in a-CO x-Based Conductive Bridge Random Access Memory

Sreekanth Ginnaram, Jiantai Timothy Qiu, Siddheswar Maikap

研究成果: 雜誌貢獻文章同行評審

13 引文 斯高帕斯(Scopus)

摘要

The Cu migration is controlled by using an optimized AlOx interfacial layer, and effects on resistive switching performance, artificial synapse, and human saliva detection in an amorphous-oxygenated-carbon (a-COx)-based CBRAM platform have been investigated for the first time. The 4 nm-thick AlOx layer in the Cu/AlOx/a-COx/TiNxOy/TiN structure shows consecutive >2000 DC switching, tight distribution of SET/RESET voltages, a long program/erase (P/E) endurance of >109 cycles at a low operation current of 300 μA, and artificial synaptic characteristics under a small pulse width of 100 ns. After a P/E endurance of >108 cycles, the Cu migration is observed by both ex situ high-resolution transmission electron microscopy and energy-dispersive X-ray spectroscopy mapping images. Furthermore, the optimized Cu/AlOx/a-COx/TiNxOy/TiN CBRAM detects glucose with a low concentration of 1 pM, and real-time measurement of human saliva with a small sample volume of 1 μL is also detected repeatedly in vitro. This is owing to oxidation-reduction of Cu electrode, and the switching mechanism is explored. Therefore, this CBRAM device is beneficial for future artificial intelligence application.

原文英語
頁(從 - 到)7032-7043
頁數12
期刊ACS Omega
5
發行號12
DOIs
出版狀態接受/付印 - 2020
對外發佈

ASJC Scopus subject areas

  • 化學 (全部)
  • 化學工程 (全部)

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