Lee Jae-Kap, Hembram K P S S, Park Yeseul, Lee Sang-Gil, Kim Jin-Gyu, Lee Wooyoung, Moon Dong Ju
Optoelectronic Materials and Devices Research Center, Korea Institute of Science and Technology , Seoul 130-650, Republic of Korea.
Department of Materials Science and Engineering, Yonsei University , 262 Seongsanno, Seoul 120-749, Republic of Korea.
J Phys Chem Lett. 2017 Jun 15;8(12):2597-2601. doi: 10.1021/acs.jpclett.7b01220. Epub 2017 May 30.
One of the unsolved fundamental issues of graphene is establishing an appropriate way to discern layers of graphene structures. We report a simple methodology to analyze graphene structures using Raman signals in the range of ∼100 to ∼500 cm comprising clear 118 or 175 cm peaks. We demonstrate that the low-energy signals on Raman spectra of plasma-seeded grown graphene sheets originated from nanocurvature (c) of mono- (175 and 325-500 cm signals) (c ≈ 1 nm) and bilayer (118 cm peak) (c ≈ 2 nm) graphene with Raman simulations, based on Raman radial mode (RM) Eigen vectors. Our RM model provides a standard way of identifying and evaluating graphene structures.
石墨烯尚未解决的基本问题之一是建立一种合适的方法来辨别石墨烯结构的层数。我们报告了一种简单的方法,利用拉曼信号在约100至约500厘米范围内分析石墨烯结构,该信号包含清晰的118或175厘米峰。我们证明,基于拉曼径向模式(RM)本征向量的拉曼模拟,等离子体种子生长的石墨烯片的拉曼光谱上的低能量信号源自单层(175和325 - 500厘米信号)(c≈1纳米)和双层(118厘米峰)(c≈2纳米)石墨烯的纳米曲率(c)。我们的RM模型提供了一种识别和评估石墨烯结构的标准方法。