Zhou Xiaodong, Kerelsky Alexander, Elahi Mirza M, Wang Dennis, Habib K M Masum, Sajjad Redwan N, Agnihotri Pratik, Lee Ji Ung, Ghosh Avik W, Ross Frances M, Pasupathy Abhay N
Department of Physics , Columbia University , New York , New York 10027 , United States.
IBM T. J. Watson Research Center , Yorktown Heights , New York 10598 , United States.
ACS Nano. 2019 Feb 26;13(2):2558-2566. doi: 10.1021/acsnano.8b09575. Epub 2019 Jan 30.
Graphene p-n junctions offer a potentially powerful approach toward controlling electron trajectories via collimation and focusing in ballistic solid-state devices. The ability of p-n junctions to control electron trajectories depends crucially on the doping profile and roughness of the junction. Here, we use four-probe scanning tunneling microscopy and spectroscopy (STM/STS) to characterize two state-of-the-art graphene p-n junction geometries at the atomic scale, one with CMOS polySi gates and another with naturally cleaved graphite gates. Using spectroscopic imaging, we characterize the local doping profile across and along the p-n junctions. We find that realistic junctions exhibit non-ideality both in their geometry as well as in the doping profile across the junction. We show that the geometry of the junction can be improved by using the cleaved edge of van der Waals metals such as graphite to define the junction. We quantify the geometric roughness and doping profiles of junctions experimentally and use these parameters in non-equilibrium Green's function-based simulations of focusing and collimation in these realistic junctions. We find that for realizing Veselago focusing, it is crucial to minimize lateral interface roughness which only natural graphite gates achieve and to reduce junction width, in which both devices under investigation underperform. We also find that carrier collimation is currently limited by the non-linearity of the doping profile across the junction. Our work provides benchmarks of the current graphene p-n junction quality and provides guidance for future improvements.
石墨烯 p-n 结为通过在弹道固态器件中进行准直和聚焦来控制电子轨迹提供了一种潜在的强大方法。p-n 结对电子轨迹的控制能力关键取决于结的掺杂分布和粗糙度。在此,我们使用四探针扫描隧道显微镜和光谱学(STM/STS)在原子尺度上表征两种最先进的石墨烯 p-n 结几何结构,一种带有 CMOS 多晶硅栅极,另一种带有天然解理的石墨栅极。通过光谱成像,我们表征了 p-n 结上及沿结的局部掺杂分布。我们发现实际的结在其几何结构以及结上的掺杂分布方面都表现出非理想性。我们表明,通过使用范德华金属(如石墨)的解理边缘来定义结,可以改善结的几何结构。我们通过实验量化了结的几何粗糙度和掺杂分布,并在基于非平衡格林函数的这些实际结的聚焦和准直模拟中使用这些参数。我们发现,为了实现韦谢拉戈聚焦,至关重要的是最小化横向界面粗糙度(只有天然石墨栅极能做到)并减小结宽度,而我们所研究的两种器件在这两方面都表现欠佳。我们还发现,目前载流子准直受到结上掺杂分布非线性的限制。我们的工作为当前石墨烯 p-n 结的质量提供了基准,并为未来的改进提供了指导。