Nanoporous Cation Limiter-Induced Enhancement of Threshold Switching and Oscillatory Behavior in Ag-Based Diffusive Memristors

IF 4.7 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2025-02-14 DOI:10.1021/acsaelm.4c01900
Calvin Xiu Xian Lee, Putu Andhita Dananjaya, Funan Tan, Eng Kang Koh, Lingli Liu, Kangjian Cheng, Wanbing Yi and Wen Siang Lew*, 
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Abstract

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 (>107), and high endurance (>106 cycles). The np-Pt cation limiter also enhances the device’s stability by reducing variability in the operating voltages (Vth and Vhold) 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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纳米多孔阳离子限制器增强了银基扩散式晶体管的阈值切换和振荡行为
神经形态计算用忆阻器的发展由于其模拟生物神经元的能力而受到关注。在各种开关机制中,挥发性电化学金属化(ECM)-阈值开关(TS)忆阻器因其结构简单、工作电压低而在人工神经网络中具有广阔的应用前景。然而,ECM TS忆阻器的开关均匀性较差,限制了其实际应用。在这项工作中,我们展示了一种具有纳米多孔pt (np-Pt)阳离子限制器的高度均匀开关银基TS忆阻器。该器件实现了超低漏电流(< 1pa)、高选择性(>107)和高耐用性(>;106周期)。np-Pt阳离子限制器还通过降低工作电压(Vth和Vhold)的可变性和在更高的电流顺应水平(~ 10 μA)下操作来增强器件的稳定性。此外,Ag/np-Pt TS器件在低电压(< 1v)下表现出自振荡行为,振荡频率随外加电压的增加而增加。np-Pt阳离子限制器的插入为ECM TS设备提供了一种简单的金属离子操作技术,提高了它们在人工神经网络应用中的性能。
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
期刊介绍: ACS Applied Electronic Materials is an interdisciplinary journal publishing original research covering all aspects of electronic materials. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials science, engineering, optics, physics, and chemistry into important applications of electronic materials. Sample research topics that span the journal's scope are inorganic, organic, ionic and polymeric materials with properties that include conducting, semiconducting, superconducting, insulating, dielectric, magnetic, optoelectronic, piezoelectric, ferroelectric and thermoelectric. Indexed/​Abstracted: Web of Science SCIE Scopus CAS INSPEC Portico
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