Lopriore Edoardo, Marin Enrique G, Fiori Gianluca
Dipartimento di Ingegneria dell'Informazione, University of Pisa, Pisa, Italy.
Departamento de Electrónica y Tecnología de Computadores, Universidad de Granada, Granada, Spain.
Nanoscale Horiz. 2021 Dec 20;7(1):41-50. doi: 10.1039/d1nh00396h.
Ultrafast photodetectors based on two-dimensional materials suffer from low responsivities and high dark currents. Interlayer exciton dissociation in type-II vertical heterojunctions of transition metal dichalcogenides is a viable mechanism for achieving higher responsivities with picosecond response times. Here, we propose a novel device concept based on these structures, with potential for self-powered photodetector applications characterized by an unprecedented trade-off between speed and responsivity with zero dark current. In order to assess the realistic performance to be expected in the proposed device, we have purposely devised a simulation approach able to provide a detailed investigation of the physics at play, while showing excellent predictive capabilities when compared with experiments on interlayer exciton transport available in the literature. The proposed high-performance photodetectors with tunable responsivities are at reach with available fabrication techniques and could help in paving the way towards monolithically integrated artificial neural networks for ultrafast machine vision in speed sensitive applications.
基于二维材料的超快光电探测器存在响应率低和暗电流高的问题。过渡金属二硫属化物的II型垂直异质结中的层间激子解离是一种可行的机制,可实现具有皮秒响应时间的更高响应率。在此,我们基于这些结构提出了一种新颖的器件概念,具有用于自供电光电探测器应用的潜力,其特点是在速度和响应率之间实现了前所未有的权衡,且暗电流为零。为了评估所提出器件预期的实际性能,我们特意设计了一种模拟方法,该方法能够对所涉及的物理过程进行详细研究,同时与文献中关于层间激子传输的实验相比,显示出出色的预测能力。所提出的具有可调响应率的高性能光电探测器可通过现有的制造技术实现,并有助于为速度敏感应用中的超快机器视觉的单片集成人工神经网络铺平道路。