Investigation of Measurement Cycle Reproducibility and Dynamic Resistance-Switching Capability in Reduced Graphene Oxide

对还原氧化石墨烯的测量循环重复性和动态电阻切换能力的研究

阅读:2

Abstract

Reduced graphene oxide (rGO) has been employed as a variable resistor in the development of RF and microwave devices, enabling electronic tuning of these systems. This paper investigates the experimental behavior of four different graphene samples in a microstrip with a gap attenuator structure. Beyond conventional DC resistance analysis, we assess the reproducibility of resistance across multiple measurement cycles and examine the dynamic resistance-switching capability and memory effect under current stepping. All samples exhibited resistance variation under the applied DC bias. However, this variation was not reproduced in subsequent measurement cycles, resulting in a reduced dynamic variation of the graphene resistance. Notably, the resistance variation decreased significantly from the first to subsequent cycles. Current step measurements revealed that rGO exhibits a memory effect, leading to resistances lower than the previous ones for a current of 1 mA, after being submitted to currents higher than 10 mA. Radio frequency measurements demonstrated that transmittance can be tuned via DC bias, with tunability strongly dependent on individual sample characteristics. Such behavior compromises the graphene's dynamic switching capability. Most existing studies highlight the tunability of graphene-based RF devices; our findings reveal, for the first time, that reduced graphene oxide exhibits cycle-to-cycle variability and memory effects, significantly restricting its use in dynamic applications. Therefore, fully harnessing the potential of graphene in applications requiring dynamic device tuning demands further advancements in material synthesis, processing, and device integration. Addressing challenges such as the observed memory effect is essential for the development of reliable and efficient graphene-based components.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。