Nanoparticles-array-air spacer passivated memristor with high on/off ratio and low reset current density
Year: 2025
Type: article
Abstract: Non-volatile resistive random-access memory (ReRAM) is a promising candidate for next-generation information storage, such as radiation-resistant memory modules and multifunctional memristor for sensing, data storage, and computing. However, ReRAM faces critical challenges in simultaneously achieving high on/off ratios and low reset current density due to conflicting material requirements that demand both high electrical conductivity and low thermal conductivity. Herein, we propose a novel nanoparticles (NPs)-array-air spacer (NAAS) passivated strategy to resolve the inherent electrical-thermal conductivity trade-off in ReRAM design. Specifically, we demonstrated an Al/PMMA/NAAS/ITO memristor featuring the highest on/off ratio (107) and the lowest reset current density (10−9 A/cm2 at 0.02 V read) reported to date. The Au NAAS, formed by monodisperse Au NPs self-assembled on ITO and interstitial air gaps, served as a passivated layer between ITO and suspended PMMA film. Both experimental characterization and electrical/thermal simulations confirm that such unique architecture strategically decouples the conflicting requirements by reducing overall thermal conductivity while enhancing local electrical conductivity, yielding simultaneously a record-high on/off ratio and ultralow reset current density. This spatial passivation strategy transcends conventional single-material approaches, providing a universal design paradigm for reconciling conflicting material requirements in nanoscale resistive switching devices.
Source: Nano Research
Authors: Dong Li, Yawen Wang, Wanyu Lu, Xinpeng Wang, Chang Liu, Haseeb Ur Rehman, Bo Zhao, Weijing Shao, Yu Wang, Oleksandr Ivasenko, Yinghui Sun, Yandong Wang, Lin Jiang
Institutions: Soochow University, Changzhou University
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $5,290
Funders: National Natural Science Foundation of China, Ministry of Science and Technology of the People's Republic of China, China Postdoctoral Science Foundation, Ministry of Industry and Information Technology of the People's Republic of China, Soochow University, Higher Education Discipline Innovation Project
Awards: G1474490597, G254443999, G3677288832
OpenAlex ID: W4414619909
