Revisiting Andreev processes in superconductor-graphene-superconductor (SGS) Josephson junctions: comparison with experimental results

Author:

Salim ShahrukhORCID,Marathe RahulORCID,Ghosh SankalpaORCID

Abstract

Abstract In view of the recent progress in experiments on charge transport through various Josephson junctions made out of graphene, we have made a careful comparison between the theory and some of the available experimental results. Within the framework of a transfer matrix approach, we have first analytically derived the spectrum of Andreev bound states (ABS) in a superconductor -graphene-superconductor (SGS) junction for a wide range of experimentally relevant parameters. We have particularly considered the case of monolayer graphene (MLG). The theoretical results can account for both the retro Andreev reflection (RAR) and the specular Andreev reflection (SAR) in the relevant parameter range. Using the ABS spectrum we have evaluated the current through such junctions and the junction conductance from the analytically derived expressions at different bias voltages for a range of other system parameters directly taken from the experimental works. These theoretical results have then been compared with experimental results. Evaluated current and the conductance show scaling behaviour with change in the junction length and agree well with the experimental results. In the relevant parameter regime where the SAR process is dominant, the calculated values of the current and the conductivity have been found much lower than the corresponding values observed when the RAR process is dominant.

Publisher

IOP Publishing

Subject

Condensed Matter Physics,Mathematical Physics,Atomic and Molecular Physics, and Optics

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3