Regulate defects and energy levels for perovskite solar cells by co-modification strategy

钙钛矿(结构) 材料科学 表面改性 能量转换效率 四氢呋喃 表面能 化学工程 图层(电子) 纳米技术 光电子学 复合材料 化学 有机化学 工程类 溶剂
作者
Yapeng Sun,Jiankai Zhang,Bo Yu,Shengwei Shi,Huangzhong Yu
出处
期刊:Nano Energy [Elsevier BV]
卷期号:121: 109245-109245 被引量:39
标识
DOI:10.1016/j.nanoen.2023.109245
摘要

The under-coordinated bonds and deep-level defects on the perovskite surface always act as non-radiative recombination centers and lead to energy loss. The usual surface modification efficiency is limited because of the diversity of surface terminals and defects. Here, a co-modification strategy is proposed for more-thorough modification by reconstructing and post-modifying perovskite surface defects. In detail, the tetrahydrofuran (THF) is firstly implemented to remove the organic component and expose the perovskite surface with uniform Pb terminals and defects, and then the 4-Methylbenzyl Mercaptan (MBM) is used to form strong R-S-Pb bonding with them, which achieves the increase and decrease of under-coordinated Pb donor defects. Correspondingly, the surface energy level of perovskite is observed a consistent change with defects. THF/MBM co-modification changes the perovskite surface energy level from n-type toward p-type, which enhances the holes' transport efficiency. As a result, the best power conversion efficiency (PCE) increases from 22.23% of the control device to 24.17% of the device with THF/MBM co-modification. Notably, a full-coverage and strong-bonding protective layer is formed by THF/MBM co-modification, which facilitates excellent device stability (Retains 93.7%, after 3360 h in N2). This strategy shows great potential in high-performance PSCs by reconstructing defects and energy level of perovskite surface.
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
琳琳琳发布了新的文献求助10
刚刚
从容的完成签到 ,获得积分10
刚刚
Jane发布了新的文献求助10
1秒前
研友_nEjYyZ发布了新的文献求助10
1秒前
无极微光应助keke采纳,获得20
2秒前
一一应助白梓采纳,获得10
3秒前
Lorain完成签到,获得积分10
4秒前
英姑应助高大狮子采纳,获得10
4秒前
CipherSage应助龚俊采纳,获得10
4秒前
个性冰凡发布了新的文献求助10
5秒前
ZiqinYuan完成签到,获得积分10
6秒前
6秒前
7秒前
Sun_Y完成签到,获得积分10
7秒前
dlf完成签到,获得积分20
10秒前
10秒前
xzc发布了新的文献求助30
11秒前
13秒前
丙子哥完成签到,获得积分10
14秒前
dlf发布了新的文献求助10
14秒前
龚俊发布了新的文献求助10
16秒前
zheng_chen发布了新的文献求助10
17秒前
17秒前
博慧完成签到 ,获得积分10
19秒前
懒洋洋完成签到 ,获得积分10
21秒前
21秒前
24秒前
大力的灵雁应助虎荣荣采纳,获得20
27秒前
上官若男应助liangshujian采纳,获得10
28秒前
Akim应助个性冰凡采纳,获得10
28秒前
柳树完成签到,获得积分10
30秒前
Jasper应助zheng_chen采纳,获得10
32秒前
Rrr应助老迟到的不惜采纳,获得10
32秒前
蓝天发布了新的文献求助30
32秒前
鲨鱼辣椒吼吼哈完成签到,获得积分10
33秒前
33秒前
34秒前
邱琳完成签到,获得积分10
36秒前
小盆呐完成签到,获得积分10
37秒前
38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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
Diagnostic Performance of Preoperative Imaging-based Radiomics Models for Predicting Liver Metastases in Colorectal Cancer: A Systematic Review and Meta-analysis 500
On the Dragon Seas, a sailor's adventures in the far east 500
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 6347886
求助须知:如何正确求助?哪些是违规求助? 8162742
关于积分的说明 17171526
捐赠科研通 5404170
什么是DOI,文献DOI怎么找? 2861638
邀请新用户注册赠送积分活动 1839457
关于科研通互助平台的介绍 1688769