Surface p‐Type Self‐Doping Facilitating the Enhanced Performance of Air‐Processed Carbon‐Based Perovskite Solar Cells

兴奋剂 钙钛矿(结构) 材料科学 碳纤维 曲面(拓扑) 光电子学 化学工程 纳米技术 复合材料 工程类 几何学 数学 复合数
作者
Zhensang Tong,Kaihang Sang,Huanyi Zhou,Dongqi Wu,Suxin Zhao,Junfang Zhang,Ye Yang,Qi Pang,Anxiang Guan,Liya Zhou,Hanchi Cheng,Peican Chen
出处
期刊:Solar RRL [Wiley]
标识
DOI:10.1002/solr.202400712
摘要

The fabrication of perovskite solar cells (PSCs) in the ambient environment offers considerable promise for practical applications, yet it also poses considerable challenges. Water is known to cause structural deterioration, which has a negative effect on the stability and efficiency of perovskite‐based devices. The presence of defects is believed to provide pathways for water infiltration into the perovskite. Therefore, one important strategy for avoiding perovskite hydration is the passivation of perovskite defects. Herein, a simple antisolvent additive engineering approach is employed. By adding the additive with functional groups of CO, NH 2 , and CF 3 to the antisolvent ethyl acetate, the defects in the perovskite thin film are successfully reduced and significantly mitigated the possibility of H 2 O infiltrating the perovskite lattice through the defects. Additionally, the addition of methyl 2‐amino‐4‐(trifluoromethyl)benzoate results in a p‐type self‐doping effect at the interface of the perovskite film, thereby improving hole extraction and transport. The power conversion efficiency of hole‐transport layer‐free carbon‐based PSCs fabricated in ambient air conditions is 19.17% (0.04 cm 2 ) and 17.78% (1 cm 2 ), respectively. Moreover, the optimized unencapsulated devices retain 90.6% of their original efficiency after being kept for 1200 h in conditions of 70% relative humidity.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
Orange应助Maico采纳,获得10
刚刚
CipherSage应助dilibolaba采纳,获得10
刚刚
1秒前
小马甲应助Susie大可采纳,获得10
2秒前
落子狮发布了新的文献求助10
2秒前
2秒前
yuequ发布了新的文献求助10
3秒前
激动烦凡发布了新的文献求助10
4秒前
hg08发布了新的文献求助10
4秒前
hw发布了新的文献求助10
5秒前
顾矜应助swordlee采纳,获得10
5秒前
7秒前
7秒前
7秒前
所所应助董小星采纳,获得10
8秒前
9秒前
JIA完成签到,获得积分10
10秒前
量子星尘发布了新的文献求助10
11秒前
激动烦凡完成签到,获得积分10
11秒前
11秒前
12秒前
Gulziba发布了新的文献求助10
13秒前
13秒前
包容的语薇完成签到,获得积分10
14秒前
rest完成签到 ,获得积分10
14秒前
怡然凝云发布了新的文献求助10
14秒前
14秒前
16秒前
18秒前
18秒前
18秒前
虚幻百川应助青青采纳,获得10
18秒前
18秒前
SI发布了新的文献求助20
19秒前
Lupin发布了新的文献求助10
19秒前
Lucas应助七月采纳,获得10
20秒前
swordlee发布了新的文献求助10
21秒前
tae117发布了新的文献求助10
22秒前
深情安青应助温柔的寒云采纳,获得10
23秒前
桐桐应助化雪彼岸采纳,获得10
25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
List of 1,091 Public Pension Profiles by Region 1561
Binary Alloy Phase Diagrams, 2nd Edition 1200
Holistic Discourse Analysis 600
Atlas of Liver Pathology: A Pattern-Based Approach 500
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
Using Genomics to Understand How Invaders May Adapt: A Marine Perspective 400
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 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5507241
求助须知:如何正确求助?哪些是违规求助? 4602647
关于积分的说明 14482442
捐赠科研通 4536668
什么是DOI,文献DOI怎么找? 2486306
邀请新用户注册赠送积分活动 1468882
关于科研通互助平台的介绍 1441329