Photocatalysis‐Induced Nanopores toward Highly Reliable Organic Electrochemical Metallization Memory
Photocatalysis‐Induced Nanopores toward Highly Reliable Organic Electrochemical Metallization Memory
复制标题
光催化诱导纳米孔实现高度可靠的有机电化学金属化存储器
DOI：
10.1002/aelm.202200246
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发表时间：
2022-05
影响因子：
6.2
通讯作者：
Yichun Liu
中科院分区：
文献类型：
--
作者：
Tao Zeng;Riya Su;Ye Tao;Ya Lin;Xuanyu Shan;Yankun Cheng;Zhongqiang Wang;Xiaoning Zhao;Haiyang Xu;Yichun Liu
具有高可靠开关性能的有机电化学金属化（ECM）存储器是未来智能可穿戴和柔性电子产品的重要需求。有机ECM存储器的阻变特性是由其工作过程中金属导电丝的微观形貌演变决定的。然而，碳纤维的形态可控性通常会因其随机分布和意外的过度生长而恶化。为了提高有机ECM存储器的RS可靠性，采用光催化方法制备了一种纳米多孔PVC/TiO 2纳米复合材料。工程化纳米孔的引入可以有效地简化CF的形态，以获得优异的均匀性、良好的保留性和低的循环降解。此外，利用多级RS行为和200 × 200忆阻阵列人工神经网络（ANN），成功地实现了字母数据存储和图像模式识别。该方法有望为高可靠性柔性电子器件和人工神经网络智能应用的发展提供新的平台。
Organic electrochemical metallization (ECM) memory that possesses high reliable switching performance is in great demand for the future smart wearable and flexible electronics. The resistive switching (RS) behavior of organic ECM memory is determined by the micro-morphology evolution of metal conductive filaments (CFs) during the operating process. However, the morphology controllability of CFs is generally deteriorated by their random distribution and unexpected overgrowth. Herein, a kind of nanoporous PVC/TiO2 nanocomposite is developed using photocatalytic method for improving the RS reliability of organic ECM memory. The introduction of engineered nanopores can effectively simplify the CFs morphology to obtain excellent uniformity, good retention, and low cycling degradation. In addition, taking advantage of the multilevel RS behavior and 200 × 200 memristive array artificial neural network (ANN), alphabetic data storage and image pattern recognition are successfully realized. The proposed approach is expected to provide novel platforms for the advance of highly reliable flexible electronics and ANN for intelligence applications.
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作者：
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影响因子：
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作者：
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通讯作者：
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作者：
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