Self-assembly of highly efficient, broadband plasmonic absorbers for solar steam generation

宽带 等离子体子 材料科学 光电子学 计算机科学 电信
作者
Lin Zhou,Yingling Tan,Dengxin Ji,Bin Zhu,Pei Zhang,Jun Xu,Qiaoqiang Gan,Zongfu Yu,Jia Zhu
出处
期刊:Science Advances [American Association for the Advancement of Science]
卷期号:2 (4): e1501227-e1501227 被引量:1287
标识
DOI:10.1126/sciadv.1501227
摘要

The study of ideal absorbers, which can efficiently absorb light over a broad range of wavelengths, is of fundamental importance, as well as critical for many applications from solar steam generation and thermophotovoltaics to light/thermal detectors. As a result of recent advances in plasmonics, plasmonic absorbers have attracted a lot of attention. However, the performance and scalability of these absorbers, predominantly fabricated by the top-down approach, need to be further improved to enable widespread applications. We report a plasmonic absorber which can enable an average measured absorbance of ~99% across the wavelengths from 400 nm to 10 μm, the most efficient and broadband plasmonic absorber reported to date. The absorber is fabricated through self-assembly of metallic nanoparticles onto a nanoporous template by a one-step deposition process. Because of its efficient light absorption, strong field enhancement, and porous structures, which together enable not only efficient solar absorption but also significant local heating and continuous stream flow, plasmonic absorber-based solar steam generation has over 90% efficiency under solar irradiation of only 4-sun intensity (4 kW m(-2)). The pronounced light absorption effect coupled with the high-throughput self-assembly process could lead toward large-scale manufacturing of other nanophotonic structures and devices.
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
1秒前
木木完成签到,获得积分10
1秒前
1秒前
共享精神应助美丽思山采纳,获得10
2秒前
2秒前
3秒前
nning关注了科研通微信公众号
3秒前
小马甲应助复杂的雪巧采纳,获得10
3秒前
ayuelei发布了新的文献求助10
3秒前
sym发布了新的文献求助10
3秒前
一一发布了新的文献求助10
3秒前
4秒前
Owen应助猪是念着倒采纳,获得10
4秒前
4秒前
4秒前
5秒前
5秒前
小蘑菇应助仔拉采纳,获得10
5秒前
上官若男应助MeiyanZou采纳,获得10
5秒前
科研通AI6.3应助Tianping采纳,获得10
6秒前
XY发布了新的文献求助10
6秒前
11发布了新的文献求助10
7秒前
7秒前
丹丹关注了科研通微信公众号
7秒前
Lily发布了新的文献求助10
7秒前
8秒前
MSY发布了新的文献求助10
8秒前
8秒前
走走发布了新的文献求助10
8秒前
星辰大海应助玄音采纳,获得10
8秒前
ding应助dawndawn采纳,获得10
8秒前
8秒前
paradox发布了新的文献求助10
8秒前
人间打气筒完成签到 ,获得积分10
9秒前
9秒前
zdjzdj应助wen采纳,获得10
9秒前
10秒前
zz完成签到,获得积分10
10秒前
天天快乐应助酶烦劳采纳,获得10
11秒前
11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
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
全相对论原子结构与含时波包动力学的理论研究--清华大学 500
Elevating Next Generation Genomic Science and Technology using Machine Learning in the Healthcare Industry Applied Machine Learning for IoT and Data Analytics 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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6442992
求助须知:如何正确求助?哪些是违规求助? 8256980
关于积分的说明 17584489
捐赠科研通 5501550
什么是DOI,文献DOI怎么找? 2900761
邀请新用户注册赠送积分活动 1877782
关于科研通互助平台的介绍 1717445