亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Topological Andreev rectification

物理 电导 弹道传导 凝聚态物理 安德列夫反射 整改 约瑟夫森效应 拓扑(电路) 超导电性 费米气体 量子隧道 量子力学 电子 功率(物理) 数学 组合数学
作者
Pok Man Tam,Christophe De Beule,C. L. Kane
出处
期刊:Physical review [American Physical Society]
卷期号:107 (24) 被引量:3
标识
DOI:10.1103/physrevb.107.245422
摘要

We develop the theory of an Andreev junction, which provides a method to probe the intrinsic topology of the Fermi sea of a two-dimensional electron gas (2DEG). An Andreev junction is a Josephson $\pi$ junction proximitizing a ballistic 2DEG, and exhibits low-energy Andreev bound states that propagate $\textit{along}$ the junction. It has been shown that measuring the nonlocal Landauer conductance due to these Andreev modes in a narrow linear junction leads to a topological Andreev rectification (TAR) effect characterized by a quantized conductance that is sensitive to the Euler characteristic $\chi_F$ of the 2DEG Fermi sea. Here we expand on that analysis and consider more realistic device geometries that go beyond the narrow linear junction and fully adiabatic limits considered earlier. Wider junctions exhibit additional Andreev modes that contribute to the transport and degrade the quantization of the conductance. Nonetheless, we show that an appropriately defined $\textit{rectified conductance}$ remains robustly quantized provided large momentum scattering is suppressed. We verify and demonstrate these predictions by performing extensive numerical simulations of realistic device geometries. We introduce a simple model system that demonstrates the robustness of the rectified conductance for wide linear junctions as well as point contacts, even when the nonlocal conductance is not quantized. Motivated by recent experimental advances, we model devices in specific materials, including InAs quantum wells, as well as monolayer and bilayer graphene. These studies indicate that for sufficiently ballistic samples observation of the TAR effect should be within experimental reach.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
XYF发布了新的文献求助10
2秒前
科目三应助小九采纳,获得10
4秒前
FIN发布了新的文献求助200
4秒前
无花果应助体贴以筠采纳,获得10
6秒前
6秒前
8秒前
16秒前
19秒前
TadeoEB完成签到,获得积分10
19秒前
inRe发布了新的文献求助10
21秒前
jk发布了新的文献求助10
21秒前
22秒前
22秒前
23秒前
醉熏的井发布了新的文献求助10
25秒前
28秒前
ls完成签到,获得积分10
29秒前
小手冰冰凉完成签到,获得积分10
29秒前
小九发布了新的文献求助10
30秒前
李健应助醉熏的井采纳,获得10
42秒前
英俊的铭应助醉熏的井采纳,获得10
42秒前
邹家园完成签到 ,获得积分10
42秒前
CodeCraft应助菠萝嘉嘉采纳,获得10
44秒前
44秒前
44秒前
45秒前
Monik完成签到,获得积分10
48秒前
wuwen发布了新的文献求助10
49秒前
zqgxiangbiye发布了新的文献求助50
51秒前
Mia发布了新的文献求助10
51秒前
德文喵发布了新的文献求助10
53秒前
石冠山完成签到,获得积分10
57秒前
852应助susan采纳,获得10
59秒前
1分钟前
YDSG完成签到,获得积分10
1分钟前
所所应助小九采纳,获得10
1分钟前
1分钟前
1分钟前
科研通AI6.3应助花花懿懿采纳,获得10
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Propeller Design 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6012362
求助须知:如何正确求助?哪些是违规求助? 7568015
关于积分的说明 16138831
捐赠科研通 5159306
什么是DOI,文献DOI怎么找? 2763030
邀请新用户注册赠送积分活动 1742206
关于科研通互助平台的介绍 1633917