EventsThe 3rd International Electronic Conference on Applied Sciences
Published
This submission belongs to the session B. Chemistry and Materials Science of the event The 3rd International Electronic Conference on Applied Sciences
Published date
02 Dec, 2022
Academic Editor
author-avatarNunzio Cennamo
Citation
Takeo Oku, Ren Nonomura, Iori Ono, Atsushi Suzuki, Masanobu Okita, Sakiko Fukunishi, Tomoharu Tachikawa, Tomoya Hasegawa, Effects of cesium/formamidinium co-additions to perovskite solar cells, in Proceedings of The 3rd International Electronic Conference on Applied Sciences, 1 December–15 December 2022, MDPI: Basel, Switzerland, doi: 10.3390/ASEC2022-13789
Share
Email
Facebook
Twitter
LinkedIn

Effects of cesium/formamidinium co-additions to perovskite solar cells

Ren Nonomura 1
Iori Ono 1
Masanobu Okita 3
Tomoharu Tachikawa 3
Tomoya Hasegawa 3
1. The University of Shiga Prefecture
2. The University of Shiga Prefecture, Japan
3. Osaka Gas Chemicals Co., Ltd.
Abstract

Perovskite solar cells consisting of CH3NH3PbI3 are expected to be alternative photovoltaic devices of silicon solar cells, because of their high conversion efficiency, easy fabrication process and low cost. On the other hand, they have a serious problem of low durability. To improve the stability and conversion efficiencies of the devices, one of the effective methods is to introduce additives into the perovskite photoactive layer. The purpose of this study is to improve the stability and conversion efficiency of the perovskite solar cells by incorporating cesium (Cs) or formamidinium (FA) at the CH₃NH₃ site. Additive effects on the photovoltaic properties and crystalline structures were investigated by current-voltage measurements, X-ray diffraction, and scanning electron microscopy. The simultaneous co-addition of Cs and FA to the CH3NH3PbI3 perovskite crystal improved the photovoltaic properties, which would be due to the suppression of decomposition of the perovskite crystals.

Keywords
perovskite
solar cell
cesium
formamidinium
photovoltaic device
polysilane
Manuscript
Hate Speech Detection combining CNN and SVM: Performance based upon a novel feature detection
Evaluation of news sentiment in economic activity forecasting