神经形态工程学
记忆电阻器
材料科学
电铸
电极
氧化铟锡
电阻随机存取存储器
光电子学
铟
纳米技术
计算机科学
GSM演进的增强数据速率
氧化物
氧气
锡
电子工程
非易失性存储器
随机存取存储器
薄膜
仿真
氧化锡
空位缺陷
堆栈(抽象数据类型)
物联网
动态随机存取存储器
静态随机存取存储器
电气工程
制作
化学计量学
数码产品
作者
Ziyi Yuan,Babak Bakhit,Jiahao Lu,Yi-Xuan Liu,Atif Jan,Xinjuan Li,Abin Varghese,Bipin Rajendran,Caterina Ducati,Giuliana Di Martino,Markus Hellenbrand,Judith L. MacManus‐Driscoll
标识
DOI:10.1038/s43246-026-01143-8
摘要
Abstract Oxide-based memristors are promising candidates as neuromorphic hardware in energy-efficient edge computing applications for the Internet of Things (IoT). However, achieving simultaneously optimized memristive and synaptic performance with low-temperature fabrication, compatible with complementary metal-oxide-semiconductor (CMOS) processes, remains a challenge. Here, we demonstrate a dual-function electrode selection strategy—controlled oxygen vacancy electrode reservoir—implemented in a simple, low-temperature-fabricated indium tin oxide (ITO)/WO 3 /TiN thin film system. We systematically vary the oxygen stoichiometry in the ITO top electrode, which serves not only as an electrical contact, but also as a dynamic oxygen reservoir. A high oxygen-vacancy concentration in the ITO enables optimized memristive performance of low electroforming and operation voltages, and robust memristive and synaptic endurance. This electrode-focused defect engineering approach offers a versatile route to advanced memristor design, enabling many applications in IoT and neuromorphic systems.
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