Full Text

Turn on search term navigation

© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Organic-inorganic perovskite solar cells (PSCs) are a high-efficiency, low-cost form of solar technology because of the abundance of useful materials and a simple fabrication procedure relative to other photovoltaic devices. Furthermore, the perovskite material shows decent electron and hole mobilities, a wide absorption range, and long exciton diffusion length. So far, many groups have focused on the research of perovskite thin-film solar cells, and these perovskite solar cells have been deemed to be one of the leading next generation photovoltaic technologies. However, there are several problems that restrict the enhancement of perovskite solar cell performance such as their poor uniformity and low crystallinity. Herein we summarize and discuss the role of film quality on power conversion efficiency, and effect of fabrication condition on the light absorbance of perovskite film.

Details

Title
Influence of Film Quality on Power Conversion Efficiency in Perovskite Solar Cells
Author
Huang, Jin 1 ; Gao, Changji 1 ; Zhang, Dan 2 ; Tian, Qingwen 3 ; Zhang, Fanghui 4 ; Shengzhong (Frank) Liu 3 

 School of Materials Science and Engineering, Shaanxi Normal University, Xi’an 710119, China; [email protected] (C.G.); [email protected] (Q.T.); School of Electronic Information and Artificial Intelligence, Shaanxi University of Science & Technology, Xi’an 710021, China; [email protected] 
 Xi’an Jiaotong University Health Science Center, Xi’an Jiaotong University, Xi’an 710049, China; [email protected] 
 School of Materials Science and Engineering, Shaanxi Normal University, Xi’an 710119, China; [email protected] (C.G.); [email protected] (Q.T.) 
 School of Electronic Information and Artificial Intelligence, Shaanxi University of Science & Technology, Xi’an 710021, China; [email protected] 
First page
622
Publication year
2019
Publication date
2019
Publisher
MDPI AG
e-ISSN
20796412
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2548337806
Copyright
© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.