Influence of exchange-correlation effects on correlated electrical conductivity of triple-monolayer graphene systems

IF 3 Q2 PHYSICS, CONDENSED MATTER
Le Thi Kieu Oanh , Nguyen Nhu Tan Lanh , Dang Khanh Linh
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引用次数: 0

Abstract

The random phase approximation (RPA), a quantum-level scheme that captures screening while neglecting exchange-correlation effects, has been widely employed to study transport properties in graphene, multilayer graphene, and N-layer graphene systems. In this work, we calculate the electrical conductivity σ(n) of three-layer graphene systems, namely triple-monolayer graphene (3MLG) system, limited by spatially correlated charged impurity scattering, employing the RPA as well as the Hubbard approximation (HA) and the Singwi-Tosi-Land-Sjölander (STLS) scheme to respectively neglect or incorporate exchange-correlation effects. Specifically, we calculate the carrier-density-dependent conductivities of the first and second layers, σ1(n1) and σ2(n2), as functions of the impurity correlation length r0 and the interlayer separation d in a 3MLG system. The results presented in this work provide deeper insights into how exchange-correlation effects influence correlated electrical conductivity in 3MLG structures.
交换相关效应对三层单层石墨烯体系相关电导率的影响
随机相位近似(RPA)是一种量子级方案,可以捕获筛选而忽略交换相关效应,已被广泛用于研究石墨烯、多层石墨烯和n层石墨烯体系的输运性质。在这项工作中,我们计算了三层石墨烯系统的电导率σ(n),即三层单层石墨烯(3MLG)系统,受空间相关带电杂质散射的限制,采用RPA以及Hubbard近似(HA)和Singwi-Tosi-Land-Sjölander (STLS)方案分别忽略或纳入交换相关效应。具体来说,我们计算了3MLG体系中第一层和第二层的载流子密度相关电导率σ1(n1)和σ2(n2)随杂质相关长度r0和层间分离度d的函数。在这项工作中提出的结果为交换相关效应如何影响3MLG结构中的相关电导率提供了更深入的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
6.50
自引率
0.00%
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