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© 2022 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 (https://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

Perovskite Solar Cells are a promising solar energy harvesting technology due to their low cost and high-power conversion efficiency. A high-quality perovskite layer is fundamental for a highly efficient perovskite Solar Cell. Utilizing a gas quenching process (GQP) can eliminate the need for toxic, flammable, and expensive anti-solvents in the preparation of perovskite layers. It is a promising candidate technology for large scale preparation of perovskite layers, as it can be easily integrated in a production line by coupling up-scalable techniques. The GQP removes the need for polar solvents in the precursor solution layer by using nitrogen flow, rather than extracting them with non-polar solvents. The crystallization dynamics in this process can be significantly different. In this study, we found that the quality of perovskite crystal from GQP is much more sensitive to Lewis base molecules (LBMs) in the precursor solution than it is in anti-solvents technology. Thus, the processing parameters of the LBMs in anti-solvents technology cannot be directly transferred to the GQP. An XRD and 1H NMR study explains the origin of the S-shaped JV curves and how these LBMs hinder the reaction between PbI2 and monovelent cations.

Details

Title
Hydrogen Bonds in Precursor Solution: The Origin of the Anomalous JV Curves in Perovskite Solar Cells
Author
Zhang, Lin 1   VIAFID ORCID Logo  ; Yao, Lin 1 ; Chu, Yanfang 2 ; Zhao, Lei 3 ; Zhao, Hongmei 3 ; Sun, Yuchen 1 ; Li, Jing 4 ; He, Junjie 5 

 Biomass New Materials Research Center, College of Architectural Engineering, Yunnan Agricultural University, Kunming 650201, China; [email protected] (L.Z.); [email protected] (L.Y.); [email protected] (Y.S.) 
 The Key Laboratory for Crop Production and Smart Agriculture of Yunnan Province, Yunnan Agricultural University, Kunming 650201, China; [email protected] 
 College of Science, Yunnan Agricultural University, Kunming 650201, China; [email protected] (L.Z.); [email protected] (H.Z.) 
 The Key Laboratory for Crop Production and Smart Agriculture of Yunnan Province, Yunnan Agricultural University, Kunming 650201, China; [email protected]; Institute of R&D and Application Demonstration for Key Technologies of Digital Agriculture of Yunnan Plateau Characteristics, Yunnan Agricultural University, Kunming 650201, China 
 Biomass New Materials Research Center, College of Architectural Engineering, Yunnan Agricultural University, Kunming 650201, China; [email protected] (L.Z.); [email protected] (L.Y.); [email protected] (Y.S.); The Key Laboratory for Crop Production and Smart Agriculture of Yunnan Province, Yunnan Agricultural University, Kunming 650201, China; [email protected] 
First page
610
Publication year
2022
Publication date
2022
Publisher
MDPI AG
e-ISSN
20734352
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2670144134
Copyright
© 2022 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 (https://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.