通过电刺激诱导缺陷工程实现二维存储器,用于复杂神经形态计算

IF 18.5 1区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY Advanced Functional Materials Pub Date : 2024-11-18 DOI:10.1002/adfm.202416333
Jie Cheng, Pan Zhang, Xinyu Ouyang, Weijia Tang, Bing Song, Youwei Zhang, Yu Zheng, Anlian Pan
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引用次数: 0

摘要

由于缺陷工程能有效提高电荷捕获能力,因此被广泛应用于二维存储器件中。然而,传统的缺陷调制技术通常只能引入单一类型的载流子陷阱,无法在器件制造后重新配置陷阱类型和密度。本文首次证明了电刺激驱动的铜离子在 CuInP2S6(CIPS)薄膜内的长程迁移可同时引入电子和空穴陷阱,并实现界面缺陷陷阱的可重构调制。这一过程被称为 "电刺激诱导缺陷工程"。此外,基于石墨烯/CIPS/h-BN/WSe2 异质结构的双栅存储器件在多级存储状态下的最大开/关比率达到 107,在单一平台内集成了神经形态计算和逻辑运算。通过 81 个存储状态和成对脉冲促进(PPF),它在储层计算(RC)模拟中实现了≈90% 的精确度。这些结果凸显了电刺激诱导缺陷工程在下一代电子学中的潜力。
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2D Memory Enabled by Electrical Stimulation-Induced Defect Engineering for Complicated Neuromorphic Computing
Defect engineering is extensively utilized in 2D memory devices due to its effectiveness in enhancing charge-trapping ability. However, conventional defect modulation techniques usually introduce only single types of carrier traps and cannot reconfigure trap types and densities after device fabrication. Here, for the first time, electrical stimulation-driven long-range migration of Cu ions within CuInP2S6 (CIPS) films is demonstrated to simultaneously introduce both electron and hole traps and enable reconfigurable modulation of interfacial defect trapping. This process is referred to as “electrical stimulation-induced defect engineering”. By integrating these defect traps and the dual-gate coupling effect, the memory window-to-scan range (MW/S.R) ratio, which reflects the device's charge trapping ability, doubled and peaked at 78.1% at Vbg = ± 80 V. Additionally, the dual-gate memory device based on the graphene/CIPS/h-BN/WSe2 heterostructure exhibits a maximum on/off ratio reaching 107 for multi-level storage states, integrating neuromorphic computing and logic operations within a single platform. With 81 storage states and paired-pulse facilitation (PPF), it achieves ≈90% accuracy in reservoir computing (RC) simulations. These results highlight the potential of electrical stimulation-induced defect engineering for next-generation electronics.
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来源期刊
Advanced Functional Materials
Advanced Functional Materials 工程技术-材料科学:综合
CiteScore
29.50
自引率
4.20%
发文量
2086
审稿时长
2.1 months
期刊介绍: Firmly established as a top-tier materials science journal, Advanced Functional Materials reports breakthrough research in all aspects of materials science, including nanotechnology, chemistry, physics, and biology every week. Advanced Functional Materials is known for its rapid and fair peer review, quality content, and high impact, making it the first choice of the international materials science community.
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