锥形纳米孔内动态纳米沉淀对忆阻特性的调制。

IF 9.1 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Zhe Liu, Hongwen Zhang, Di Liu, Tianyi Sui, Yinghua Qiu
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引用次数: 0

摘要

纳米流控记忆电阻器具有低能耗和良好的生物相容性等优点,在神经形态系统中具有很大的应用潜力。本文提出了一种有效的方法来调节锥形纳米孔的记忆行为,即利用相反电压下纳米孔中离子富集和耗尽诱导的纳米沉淀物的可逆形成和溶解。在微溶无机盐CaHPO4的存在下,通过孔尖的沉淀动力学和纳米孔内部离子富集/耗尽之间的相互作用,锥形纳米孔表现出明显的电流滞后环。除了外加电压幅值和扫描速率外,记忆电阻特性还与CaHPO4的浓度密切相关。在脉冲电压的刺激下,离子电流表现出稳定的学习和遗忘过程,具有强大的开关稳定性和有效的重置能力,这与生物突触的短期可塑性特征相似。该研究为纳米流体忆阻器的设计提供了一种简单、可调的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Modulation of Memristive Characteristics by Dynamic Nanoprecipitation Inside Conical Nanopores

Modulation of Memristive Characteristics by Dynamic Nanoprecipitation Inside Conical Nanopores

Nanofluidic memristors have demonstrated great potential for neuromorphic system applications with the advantages of low energy consumption and excellent biocompatibility. Here, an effective way is developed to regulate the memristive behavior of conical nanopores by leveraging the reversible formation and dissolution of nanoprecipitates induced by ion enrichment and depletion in nanopores under opposite voltages. Through the interplay between precipitation dynamics at the pore tip and the ion enrichment/depletion inside the nanopore, conical nanopores exhibit pronounced current hysteresis loops in the presence of CaHPO4, a slightly soluble inorganic salt. The memristive characteristics are found to be strongly dependent on the concentration of CaHPO4, besides the applied voltage amplitude and scan rate. Under the stimulation of pulse voltages, ionic current demonstrates stable learning and forgetting processes with robust switching stability and effective reset capability, which is similar to the short-term plasticity characteristics of biological synapses. The research may provide a straightforward and tunable approach for the design of nanofluidic memristors.

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来源期刊
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
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