整改
纳米孔
石墨烯
不对称
材料科学
整流器(神经网络)
电流(流体)
纳米技术
费米能量
石墨烯纳米带
费米能级
凝聚态物理
物理
计算机科学
电压
量子力学
机器学习
热力学
随机神经网络
电子
循环神经网络
人工神经网络
作者
J. Majhi,Sudin Ganguly,Santanu K. Maiti
出处
期刊:Nanotechnology
[IOP Publishing]
日期:2022-03-16
卷期号:33 (25): 255704-255704
标识
DOI:10.1088/1361-6528/ac5e6f
摘要
Abstract We discuss the possibility of getting rectification operation in graphene nanoribbon (GNR). For a system to be a rectifier, it must be physically asymmetric and we induce the asymmetry in GNR by introducing nanopores. The rectification properties are discussed for differently structured nanopores. We find that shape and orientation of the nanopores are critical and sensitive to the degree of current rectification. As the choice of Fermi energy is crucial for obtaining significant current rectification, explicit dependence of Fermi energy on the degree of current rectification is also studied for a particular shape of the nanopore. Finally, the role of nanopore size and different spatial distributions of the electrostatic potential profile across the GNR are explored. The stability of the nanopores is also discussed with a possible solution. Given the simplicity of the proposed method and promising results, the present proposition may lead to a new route of getting current rectification in different kinds of materials where nanopores can be formed selectively.
科研通智能强力驱动
Strongly Powered by AbleSci AI