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Spatial distribution quantification and control of ink flakes in reduced graphene oxide FET inkjet printing

机译:石墨烯氧化物FET喷墨印刷中油墨剥落的空间分布量化和控制

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Inkjet printing for field-effect transistor (FET) sensor fabrication with graphene oxide (GO) is promising because of its attractive features including low costs and scalability. However, the process variation in inkjet printing poses difficulties in achieving stable and high quality FET sensors. In this paper, we focus on the GO flakes variation on the substrate after the ink drying, especially for quantifying and controlling the flake distribution on the FET channel. A spatial statistical model describing the flake center distribution is first developed using Poisson process. Based on this model, we build an optimization framework to achieve the best flake distribution that satisfies FET performance requirement. In the optimization framework, we focus on two key characteristics in the GO ink production process, the flake size and flake concentration, and the exact solutions for these two characteristics are derived. The relationship between the characteristics and the flake distribution is demonstrated and discussed through various simulations. The comparisons between simulation results and the exact solution verify the effectiveness of the proposed methods.
机译:用于场效应晶体管(FET)的喷墨印刷,具有石墨烯氧化物(GO)的传感器制造是有前途的,因为其具有低成本和可扩展性的有吸引力的特征。然而,喷墨印刷的过程变化在实现稳定和高质量的FET传感器方面存在困难。在本文中,我们专注于油墨干燥后基板上的GO薄片变化,特别是用于量化和控制FET通道上的剥落分布。首先使用泊松工艺开发描述薄片中心分布的空间统计模型。基于此模型,我们构建了一个优化框架,以实现满足FET性能要求的最佳剥落分布。在优化框架中,我们专注于Go墨水生产过程中的两个关键特性,剥落大小和剥落浓度,以及这两个特征的确切解。通过各种模拟证明和讨论了特性和剥落分布之间的关系。仿真结果与精确解决方案之间的比较验证了所提出的方法的有效性。

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