4.8 Article

Large-Scale Mapping of Moire Superlattices by Hyperspectral Raman Imaging

期刊

ADVANCED MATERIALS
卷 33, 期 34, 页码 -

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/adma.202008333

关键词

hyperspectral Raman imaging; interlayer breathing modes; low-frequency Raman scattering; moire phonons; moire superlattices

资金

  1. Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) [SPP 2244, LI 3725/1-1, 443378379, SCHU1171/10-1, 443361515, SFB 1277, 314695032]
  2. DFG [KO 3612/4-1-648265]
  3. Projekt DEAL

向作者/读者索取更多资源

Low-frequency Raman scattering can detect atomic reconstruction and map out the inhomogeneity of moire lattice in twisted-bilayer transition-metal dichalcogenides. This method provides a way to study the emerging electrical and optical properties in moire superlattices.
Moire superlattices can induce correlated-electronic phases in twisted van der Waals materials: strongly correlated quantum phenomena emerge, such as superconductivity and the Mott-insulating state. However, moire superlattices produced through artificial stacking can be quite inhomogeneous, which hampers the development of a clear correlation between the moire period and the emerging electrical and optical properties. Here, it is demonstrated in twisted-bilayer transition-metal dichalcogenides that low-frequency Raman scattering can be utilized not only to detect atomic reconstruction, but also to map out the inhomogeneity of the moire lattice over large areas. The method is established based on the finding that both the interlayer-breathing mode and moire phonons are highly susceptible to the moire period and provide characteristic fingerprints. Hyperspectral Raman imaging visualizes microscopic domains of a 5 degrees twisted-bilayer sample with an effective twist-angle resolution of about 0.1 degrees. This ambient methodology can be conveniently implemented to characterize and preselect high-quality areas of samples for subsequent device fabrication, and for transport and optical experiments.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据