High performance self-powered photodetector based on van der Waals heterojunction

光电探测器 响应度 异质结 材料科学 范德瓦尔斯力 光电子学 光电流 电场 物理 分子 量子力学
作者
Cong Yan,Kun Yang,Hao Zhang,Yaolin Chen,Hongxia Liu
出处
期刊:Nanotechnology [IOP Publishing]
卷期号:35 (3): 035203-035203 被引量:8
标识
DOI:10.1088/1361-6528/ad047f
摘要

Self-powered photodetectors that do not require external power support are expected to play a key role in future photodetectors due to their low power characteristics, but achieving high responsivity remains a challenge. 2D van der Waals heterojunctions are a promising technology for high-performance self-powered photodetectors due to their excellent optical and electrical properties. Here, we fabricate a self-powered photodetector based on In2Se3/WSe2/ReS2van der Waals heterojunction self-powered photodetector. Due to the presence of ReS2layer, photocurrent is enhanced as a result of the increase in light absorption efficiency and the effective region for generating photogenerated carriers. The built-in electric field is enhanced by a negative 'back-gate voltage' along the p-n junction vertical direction generated by the electrons in the photo-generated electrons accumulation layer. Accordingly, the optical responsivity and the photoresponse speed of this heterojunction self-powered photodetector are greatly boosted. The proposed self-powered photodetector based on the In2Se3/WSe2/ReS2heterojunction exhibits a high responsivity of 438 mA W-1, which is 17 times higher compared to the In2Se3/WSe2photodetector, a self-powered current (1.1 nA) that is an order of magnitude higher than that of the In2Se3/WSe2photodetector, and a fast response time that is 250% faster. Thus the self-powered photodetector with a stronger built-in electric field and a wider depletion zone can provide a new technological support for the fabrication of high responsivity, low power consumption and high speed self-powered photodetectors based on van der Waals heterojunctions.
最长约 10秒,即可获得该文献文件

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
刚刚
1秒前
Nexus应助jz采纳,获得30
1秒前
1秒前
1秒前
雪渐霏完成签到 ,获得积分10
1秒前
2秒前
钱途光明发布了新的文献求助10
2秒前
3秒前
可爱的函函应助kkhenry采纳,获得10
3秒前
秋秋完成签到 ,获得积分10
3秒前
3秒前
zzzzzzzhhhh发布了新的文献求助10
3秒前
852应助木木采纳,获得10
3秒前
Chuyue发布了新的文献求助10
4秒前
科研通AI2S应助vcc采纳,获得10
4秒前
4秒前
4秒前
幻天游完成签到,获得积分10
4秒前
吴霜降发布了新的文献求助10
4秒前
无限薯片完成签到,获得积分20
4秒前
FashionBoy应助sky采纳,获得10
5秒前
5秒前
5秒前
5秒前
讷讷完成签到,获得积分20
5秒前
林木木应助lyxxll采纳,获得10
6秒前
insisT发布了新的文献求助10
6秒前
lan发布了新的文献求助10
6秒前
6秒前
肉肉完成签到,获得积分10
6秒前
sjw发布了新的文献求助10
6秒前
7秒前
江鱼发布了新的文献求助10
7秒前
perrier完成签到 ,获得积分10
7秒前
JamesPei应助DDDDDDDD采纳,获得30
7秒前
咻咻咻超级飞侠完成签到,获得积分10
7秒前
Nexus应助jz采纳,获得30
7秒前
斯文败类应助NANA采纳,获得10
8秒前
8秒前
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
Principles of town planning: translating concepts to applications 1000
Cognitive Psychology in a Changing World 800
内視鏡的に摘除しえた十二指腸乳頭部腫瘍の2例 660
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The Neuroscience of Language 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7685122
求助须知:如何正确求助?哪些是违规求助? 9248776
关于积分的说明 19953782
捐赠科研通 7257966
什么是DOI,文献DOI怎么找? 3289084
关于科研通互助平台的介绍 2446210
邀请新用户注册赠送积分活动 2293257