The Impacts of Different Producing Methods on the Memristive Performance in Monolayer CBRAM

This study systematically investigates the effects of top electrodes via electron-beam evaporation and thermal deposition techniques on the performance of monolayer conductive-bridging random access memory (CBRAM). The top electrodes via electron-beam evaporation shows better device performances than those via thermal deposition including leakage, On/Off ratios and endurance in the monolayer CBRAM. This is verified by using Si substrate and titanium nitride (TiN) as a bottom electrode. Our finding indicates the fabrication methods have obvious effects on the memristive characteristics even in the same device structure, which may provide crucial experimental insights for electrode optimization in emerging non-volatile memory technologies.

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Published
2025-06-08
DOI
https://doi.org/10.23919/snw65111.2025.11097235
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

The Impacts of Different Producing Methods on the Memristive Performance in Monolayer CBRAM

Yucheng Wu, Pengpeng Sang, Jixuan Wu, Jiezhi Chen et al.
Advanced Memory and Neural Computing
article

The Impacts of Different Producing Methods on the Memristive Performance in Monolayer CBRAM

Yucheng Wu, Pengpeng Sang, Jixuan Wu, Jiezhi Chen, Xuepeng Zhan, Bo Chen, Ruidong Li, Peng Guo, Di Wu, Hongyang Zhang, Yixuan Fan, Yuwei Qu
article en

Abstract

This study systematically investigates the effects of top electrodes via electron-beam evaporation and thermal deposition techniques on the performance of monolayer conductive-bridging random access memory (CBRAM). The top electrodes via electron-beam evaporation shows better device performances than those via thermal deposition including leakage, On/Off ratios and endurance in the monolayer CBRAM. This is verified by using Si substrate and titanium nitride (TiN) as a bottom electrode. Our finding indicates the fabrication methods have obvious effects on the memristive characteristics even in the same device structure, which may provide crucial experimental insights for electrode optimization in emerging non-volatile memory technologies.

Shandong University (CN), Sinochem Group (China) (CN), Cloud Computing Center (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 83%
Advanced Memory and Neural Computing
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The Impacts of Different Producing Methods on the Memristive Performance in Monolayer CBRAM — Yucheng Wu, Pengpeng Sang, et al. · (2025) | TGRS Research Map | TGRS