Localization and Directionality of Surface Transport in Bi2Te3 Ordered 3D Nanonetworks [Dataset]
收藏DIGITAL.CSIC2024-11-01 更新2026-05-11 收录
下载链接:
https://digital.csic.es/handle/10261/371040
下载链接
链接失效反馈官方服务:
资源简介:
Nanowires are excellent model systems for investigating the effects of low dimensionality in materials. Controlling the diameter of the nanowires, and hence its surface-to-volume ratio, the presence or relevance of surface-related characteristics can be addressed. This is of particular interest in the case of topological insulators owing to electronic surface states (topologically protected) independent from bulk states. Tetradymite chalcogenides Bi2Te3, Bi2Se3, and Sb2Te3 are small band gap semiconductors with wide application in state-of-the-art Peltier cooling devices or thermoelectric power generators. They are also strong 3D-topological insulator, with topologically protected states predicted to appear on any free surface regardless of the crystallographic orientation. This Dataset is referring to the following study, in which the resistance of an ordered 3D-Bi2Te3 nanowire nanonetwork was studied at low temperatures. Below 50 K the increase in resistance was found to be compatible with the Anderson model for localization, considering that conduction takes place in individual parallel channels across the whole sample. Angle-dependent magnetoresistance measurements showed a distinctive weak antilocalization characteristic with a double feature that we could associate with transport along two perpendicular directions, dictated by the spatial arrangement of the nanowires. The coherence length obtained from the Hikami–Larkin–Nagaoka model was about 700 nm across transversal nanowires, which corresponded to approximately 10 nanowire junctions. Along the individual nanowires, the coherence length was greatly reduced to about 100 nm. The observed localization effects could be the reason for the enhancement of the Seebeck coefficient observed in the 3D-Bi2Te3 nanowire nanonetwork compared to individual nanowires.
创建时间:
2024-11-01



