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一种用于人工突触的具有高线性度和多级聚合物基导电桥接忆阻器。

A high linearity and multilevel polymer-based conductive-bridging memristor for artificial synapses.

作者信息

Zhou Jianhong, Wang Zheng, Fu Yujun, Xie Zhichao, Xiao Wei, Wen Zhenli, Wang Qi, Liu Qiming, Zhang Junyan, He Deyan

机构信息

School of Materials and Energy, Lanzhou University, Lanzhou 730000, China.

LONGi Institute of Future Technology Lanzhou University, Lanzhou 730000, China.

出版信息

Nanoscale. 2023 Aug 17;15(32):13411-13419. doi: 10.1039/d3nr01726e.

Abstract

Conductive-bridging memristors based on a metal ion redox mechanism have good application potential in future neuromorphic computing nanodevices owing to their high resistance switch ratio, fast operating speed, low power consumption and small size. Conductive-bridging memristor devices rely on the redox reaction of metal ions in the dielectric layer to form metal conductive filaments to control the conductance state. However, the migration of metal ions is uncontrollable by the applied bias, resulting in the random generation of conductive filaments, and the conductance state is difficult to accurately control. Herein, we report an organic polymer carboxylated chitosan-based memristor doped with a small amount of the conductive polymer PEDOT:PSS to improve the polymer ionic conductivity and regulate the redox of metal ions. The resulting device exhibits uniform conductive filaments during device operation, more than 100 and non-volatile conductance states with a ∼1 V range, and linear conductance regulation. Moreover, simulation using handwritten digital datasets shows that the recognition accuracy of the carboxylated chitosan-doped PEDOT:PSS memristor array can reach 93%. This work provides a path to facilitate the performance of metal ion-based memristors in artificial synapses.

摘要

基于金属离子氧化还原机制的导电桥接忆阻器由于其高电阻开关比、快速运行速度、低功耗和小尺寸,在未来的神经形态计算纳米器件中具有良好的应用潜力。导电桥接忆阻器器件依靠介电层中金属离子的氧化还原反应形成金属导电细丝来控制电导状态。然而,金属离子的迁移不受施加偏压的控制,导致导电细丝随机产生,并且电导状态难以精确控制。在此,我们报道了一种掺杂少量导电聚合物PEDOT:PSS的基于有机聚合物羧甲基壳聚糖的忆阻器,以提高聚合物离子电导率并调节金属离子的氧化还原。所得器件在器件运行期间表现出均匀的导电细丝、超过100个且在约1V范围内的非易失性电导状态以及线性电导调节。此外,使用手写数字数据集进行的模拟表明,羧甲基壳聚糖掺杂PEDOT:PSS忆阻器阵列的识别准确率可达93%。这项工作为提高基于金属离子的忆阻器在人工突触中的性能提供了一条途径。

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