4.6 Article

Binder-Free Synthesis of Nanostructured Amorphous Cobalt Phosphate for Resistive Memory and Artificial Synaptic Device Applications

期刊

ACS APPLIED ELECTRONIC MATERIALS
卷 4, 期 4, 页码 1852-1863

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acsaelm.2c00085

关键词

cobalt phosphate; resistive switching; memristive device; time series analysis; synaptic device; neuromorphic computing

资金

  1. DST-SERB, India [CRG/2021/005672]

向作者/读者索取更多资源

In this study, a functional Co-x(PO4)(2) nanomaterial was synthesized for resistive memory and neuromorphic computing applications. The synthesized nanomaterial was well characterized and its properties were analyzed. The fabricated device showed bipolar resistive switching and memristive properties, with good endurance and memory retention.
The rise of artificial intelligence and machine learning demands versatile electronic devices for memory and brain-inspired computing applications. The electronic materials are the backbones of these applications. Considering this, a functional Co-x(PO4)(2) nanomaterial was synthesized for resistive memory and neuromorphic computing applications. The synthesized nanomaterial was well characterized by using X-ray diffraction, Fourier transform infrared spectroscopy, field emission-scanning electron microscopy, and X-ray photoelectron spectroscopy. The fabricated Ag/Co-x(PO4)(2)/ITO device shows bipolar resistive switching and memristive properties. The SET and RESET voltages were analyzed by using different statistical measures, and their distribution was studied by using the Weibull technique. The results suggested that the SET voltages were more uniformly distributed than the RESET voltage. The switching nonlinearity was modeled and predicted by using Holt's exponential smoothing-based statistical time series analysis method. In the case of nonvolatile memory tests, the device shows good endurance (10(3) cycles) and memory retention (3 x 10(4) s) with excellent memory window (1.7 x 10(3)) properties. Moreover, the device can mimic the potentiation-depression and spike-timing-dependent plasticity-based Hebbian learning rules, suggesting Co-x(PO4)(2) is a potential nanomaterial for the fabrication of artificial synapse. The detailed analysis of electrical results suggested that the space-charge-limited current-based charge transport was responsible for the device conduction, whereas the formation and rupture of conductive filament(s) were responsible for the resistive switching in the Ag/Co-x(PO4)(2)/ITO memristive device. The results of the present investigation suggested that the Co-x(PO4)(2) nanomaterial is a potential candidate for resistive memory and brain-inspired computing applications

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据