石墨烯
太赫兹辐射
同质性(统计学)
材料科学
薄脆饼
表征(材料科学)
拉曼光谱
光电子学
制作
各向异性
纳米技术
光学
计算机科学
物理
医学
替代医学
病理
机器学习
作者
Cheng Chen,Ali Pourkazemi,Wu Zhao,Niko Van den Brande,Tom Hauffman,Zhiyong Zhang,Johan Stiens
标识
DOI:10.1016/j.apsusc.2023.156498
摘要
As the fabrication scale of graphene continues to expand, the limitations of existing mass characterization techniques such as Raman spectroscopy, AFM, and other microscopic characterization techniques for large-scale homogeneity characterization of graphene films become more and more prominent. Although the line-shaped defects (primarily grain boundaries and folds) distributed on the graphene film can be observed using the above techniques, it is difficult to comprehensively evaluate their distribution state on the entire film surface using these instruments. Based on this background, the author's group has been aiming at the above problems by combining terahertz vector network analysis technology with the detection of large-area homogeneity of graphene films and quantitative characterization of line-shaped defects on the film surface, to explore a quality inspection technology that can be used in the production line of graphene films. The results demonstrate that the terahertz transverse electric (TE) wave is extremely sensitive to the variation of local thickness and electrical conductivity, which can be used in the homogeneity testing for the graphene; distributed line-shaped defects on graphene surface can exhibit anisotropic EM behavior with respect to THz TE waves, which can be exploited to identify the defect distribution states.
科研通智能强力驱动
Strongly Powered by AbleSci AI