限制器
记忆电阻器
材料科学
纳米孔
纳米技术
凝聚态物理
光电子学
化学物理
物理
电气工程
量子力学
工程类
作者
Calvin Xiu Xian Lee,Putu Andhita Dananjaya,Funan Tan,Eng Kang Koh,Lingli Liu,Kangjian Cheng,Wanbing Yi,Wen Siang Lew
标识
DOI:10.1021/acsaelm.4c01900
摘要
The development of memristors for neuromorphic computing has gained attention due to their ability to mimic biological neurons. Among the various switching mechanisms, volatile electrochemical metallization (ECM)-threshold switching (TS) memristors show promise for artificial neural networks due to their simple structure and low operating voltages. However, ECM TS memristors often suffer from poor switching uniformity, limiting practical applications. In this work, we demonstrate a highly uniform switching Ag-based TS memristor with a nanoporous-Pt (np-Pt) cation limiter. The device achieves ultralow leakage current (<1 pA), high selectivity (>10 7 ), and high endurance (>10 6 cycles). The np-Pt cation limiter also enhances the device’s stability by reducing variability in the operating voltages ( V th and V hold ) and enabling operations at higher current compliance levels (∼10 μA). In addition, the Ag/np-Pt TS device exhibits self-oscillation behavior at low voltage (<1 V), with oscillation frequency increasing with the applied voltage. The insertion of the np-Pt cation limiter provides a simplistic technique of metal ions manipulation in ECM TS devices, enhancing their performance for artificial neural network applications.
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