Suppr超能文献

金属氧化物电荷传输层在钙钛矿太阳能电池中的应用

Applications of Metal Oxide Charge Transport Layers in Perovskite Solar Cells.

作者信息

Liu Jiale, Li Sheng, Mei Anyi, Han Hongwei

机构信息

Michael Grätzel Center for Mesoscopic Solar Cells Wuhan National Laboratory for Optoelectronics Key Laboratory of Materials Chemistry for Energy Conversion and Storage of Ministry of Education Huazhong University of Science and Technology Wuhan 430074 Hubei P. R. China.

出版信息

Small Sci. 2023 Jul 27;3(9):2300020. doi: 10.1002/smsc.202300020. eCollection 2023 Sep.

Abstract

Metal oxide (MO) charge transport layers (CTLs) are widely used for fabricating highly efficient and stable perovskite solar cells (PSCs) due to their superior stability, material and preparation cost, light transmission, and charge selection. However, the complex surface states, unbalanced carrier mobility, and variable energy band structure determined by MOs can lead to additional interfacial charge recombination and transport losses within the device, which limit further improvements in device performance. Extensive research has been conducted to address these challenges. In this review, an overview of current popular MO-CTLs and their preparation methods for PSCs are provided. Interface regulation strategies, such as passivating interface defects, modulating interface energy level alignment, and improving interface contact are also discussed, which can enhance the performance of PSCs. Meanwhile, the commonly used dopants and doping strategies for optimizing the charge transport properties of CTLs are also discussed.

摘要

金属氧化物(MO)电荷传输层(CTL)因其卓越的稳定性、材料及制备成本、光透射率和电荷选择性,被广泛用于制造高效且稳定的钙钛矿太阳能电池(PSC)。然而,MO所决定的复杂表面态、不平衡的载流子迁移率以及可变的能带结构,会导致器件内部额外的界面电荷复合和传输损耗,从而限制了器件性能的进一步提升。为应对这些挑战,人们开展了广泛的研究。在本综述中,将概述当前用于PSC的流行MO-CTL及其制备方法。还将讨论诸如钝化界面缺陷、调节界面能级对齐和改善界面接触等界面调控策略,这些策略可提升PSC的性能。同时,也会讨论用于优化CTL电荷传输特性的常用掺杂剂和掺杂策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed3f/11936005/1311a9513283/SMSC-3-2300020-g006.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验