Gradient Doping Strategy for Sn─Pb Mixed Perovskite Solar Cells with High Efficiency and Stability.

IF 10.7 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Haotian Zhang, Chao Gao, Li He, Dezhao Zhang, Hongzhen Su, Hong Liu, Kadi Zhu, Wenzhong Shen
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引用次数: 0

Abstract

Sn─Pb hybrid perovskite has attracted more attention due to its ideal bandgap and excellent photoelectric properties. However, easy oxidation and poor crystallinity caused by the introduction of Sn2+ have become two major problems. In this study, Sn2+ is doped in the Pb-based perovskite to prepare high crystalline Sn─Pb mixed perovskite with larger grain size by using the solvent engineering technique and the cooperation optimization with HCOOH. The reducibility of HCOOH and its inhibition of deprotonation significantly prevent the oxidation of Sn2+ and the decomposition of A-site cations. The experimental and theoretical results show that the interactions between HCOOH and Sn2+ and Pb2+, which reduce the defect density and improve the crystallinity and stability of the film with excellent photoelectric properties. In addition, the compact SnO2 prepared by atomic layer deposition as electronic transformation layer to further improve the stability of devices. The photoelectric conversion efficiency of the Sn─Pb hybrid perovskite solar cells (PSCs) prepared by the dopant growth method can reach 21.53% and the stability is significantly better than that of the Sn─Pb PSCs prepared by the traditional method.

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来源期刊
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
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