石墨烯
材料科学
光子学
纳米技术
光电探测器
工程物理
制作
数码产品
实现(概率)
光电子学
物理
电气工程
工程类
医学
替代医学
病理
统计
数学
作者
Joice Sophia Ponraj,Zai‐Quan Xu,Sathish Chander Dhanabalan,Haoran Mu,Yusheng Wang,Jian Yuan,Pengfei Li,Siddharatha Thakur,Mursal Ashrafi,Kenneth Mccoubrey,Yupeng Zhang,Shaojuan Li,Han Zhang,Qiaoliang Bao
出处
期刊:Nanotechnology
[IOP Publishing]
日期:2016-10-25
卷期号:27 (46): 462001-462001
被引量:284
标识
DOI:10.1088/0957-4484/27/46/462001
摘要
Apart from conventional materials, the study of two-dimensional (2D) materials has emerged as a significant field of study for a variety of applications. Graphene-like 2D materials are important elements of potential optoelectronics applications due to their exceptional electronic and optical properties. The processing of these materials towards the realization of devices has been one of the main motivations for the recent development of photonics and optoelectronics. The recent progress in photonic devices based on graphene-like 2D materials, especially topological insulators (TIs) and transition metal dichalcogenides (TMDs) with the methodology level discussions from the viewpoint of state-of-the-art designs in device geometry and materials are detailed in this review. We have started the article with an overview of the electronic properties and continued by highlighting their linear and nonlinear optical properties. The production of TIs and TMDs by different methods is detailed. The following main applications focused towards device fabrication are elaborated: (1) photodetectors, (2) photovoltaic devices, (3) light-emitting devices, (4) flexible devices and (5) laser applications. The possibility of employing these 2D materials in different fields is also suggested based on their properties in the prospective part. This review will not only greatly complement the detailed knowledge of the device physics of these materials, but also provide contemporary perception for the researchers who wish to consider these materials for various applications by following the path of graphene.
科研通智能强力驱动
Strongly Powered by AbleSci AI