Towards Reliable Synaptic Simulation using Al-doped HfO RRAM.

Clicks: 140
ID: 94682
2020
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #692 of 899 articles by views in ACS applied materials & interfaces

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 899 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
The potential in synaptic simulation for neuromorphic computation has revived the research interest of resistive random access memory (RRAM). However, novel applications require reliable multi-level resistive switching (RS), which still represents a challenge. We demonstrate in this work the achievement of reliable HfO2-based RRAM devices for synaptic simulation by performing the Al doping and the post-deposition annealing (PDA). Transmission electron microscopy and operando hard X-ray photoelectron spectroscopy results reveal the positive impact of Al doping on the formation of oxygen vacancies. Detailed I-V characterizations demonstrate that the 16.5% Al doping concentration leads to better RS properties of the device. In comparison with the other reported results based on HfO2 RRAM, our devices with 16.5% Al-doping and PDA at 450°C show better reliable multi-level RS (~20 levels) performance and an increased On/Off ratio. The 16.5%Al:HfO2 sample with PDA at 450°C show good potentiation/ depression characteristics with low pulse width (10 s) along with good On/Off ratio (>1000), good data retention at room temperature and high temperature and good program/erase endurance characteristics with a pulse width of 50 ns. The synapse features including potentiation, depression and spike time dependent plasticity (STDP) were successfully achieved using optimized Al-HfO2 RRAM devices. Our results demonstrate the beneficial effects of Al doping and PDA on the enhancement of the performances of RRAM devices for the synaptic simulation in neuromorphic computing applications.
Reference Key
roy2020towardsacs Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Roy, Sourav;Niu, Gang;Wang, Qiang;Wang, Yankun;Zhang, Yijun;Wu, Heping;Zhai, Shijie;Shi, Peng;Song, Sannian;Song, Zhitang;Ye, Zuo-Guang;Wenger, Christian;Schroeder, Thomas;Xie, Ya-Hong;Meng, Xiangjian;Luo, Wenbo;Ren, Wei;
Journal ACS applied materials & interfaces
Year 2020
DOI
10.1021/acsami.9b21530
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.