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arXiv 2204.01422cond-mat.mes-hallcond-mat.mtrl-sci
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石墨烯/离子液体神经形态系统忆阻器件的表征

Characterization of Graphene/Ionic Liquid Memristive Devices for Neuromorphic Systems

Itır Köymen, Shuyu Liu, Said Ergöktaş, Coskun Kocabas

摘要:

由于对提高计算能力的兴趣以及将电子器件与包括药物递送、神经接口和生物传感器的生物系统进行接口的动机,柔性和生物相容的忆阻器件对于生物电子系统特别有吸引力。由更非正统的有机材料制成的结构可以解决不同的问题,因为它们具有以下特性:灵活性,一致性,生物相容性以及简单和低成本的制造。已经观察到,由于局部电势差,门控石墨烯/离子液体(IL)器件导致在石墨烯/IL界面处形成双电层(厚度为几纳米的离子薄层),该局部电势差也控制局部电导率。该结构提供了基于沿着沟道的动态pn结形成的忆阻机制。受这种忆阻行为的激励,组装了石墨烯/IL设备,目的是展示忆阻行为和联想学习。本文研究了聚合物衬底上柔性石墨烯/ IL器件的忆阻特性。研究了这些新型器件的I-V特性和开关机理。制造并测试了两种不同的器件拓扑结构(单输入、单输出和双输入、单输出),以模拟调节。据观察,正极性和负极性的电压脉冲串的应用增加了设备的电导,并允许更大的电流通过重复激励后。这一特性被用来调节设备和模拟联想学习。

英文摘要:

Flexible and biocompatible memristive devices are particularly attractive for bioelectronic systems due to the interest in improving computing capabilities and the motivation to interface electronics with biological systems including drug delivery, neural interfaces and biosensors. Structures made of more unorthodox, organic material can address different issues due to their characteristics: flexibility, conformability, biocompatibility and simple and low-cost fabrication. It has been observed that gating graphene/ionic liquid (IL) devices leads to the formation of an electrical double layer (a thin layer of ions with a thickness of a few nanometers) at the graphene/IL interface due to the local potential difference which also controls the local conductivity. This structure provides a memristive mechanism based on a dynamic p-n junction formation along the channel. Motivated by this memristive behavior, graphene/IL devices were assembled with the aim of demonstrating memristive behavior and associative learning. This work investigates memristive properties of flexible graphene/ IL devices on polymer substrates. The I-V characteristics of these novel devices and switching mechanism are investigated. Two distinct topologies (single input, single output and double input, single output) of devices are manufactured and tested to mimic conditioning. It is observed that the application of voltage pulse trains of both positive and negative polarities increases the device conductance and allows larger currents to pass after repetitive excitation. This characteristic was exploited to condition devices and emulate associative learning.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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