Uniform Phase Permutation of Efficient Ruddlesden–Popper Perovskite Solar Cells via Binary Spacers and Single Crystal Coordination

2D Ruddlesden-Popper perovskites (RPPs) have attracted extensive attention in recent years due to their excellent environmental stability. However, the power conversion efficiency (PCE) of RPP solar cells is much lower than that of 3D perovskite solar cells (PSCs), mainly attributed to their poor carrier transport performance and excessive heterogeneous phases. Herein, the binary spacers (n-butylammonium, BA and benzamidine, PFA) are introduced to regulate the crystallization kinetics and n-value phase distribution to form uniform phase permutation of RPP films. The study then incorporates n = 5 BA<sub>2</sub>MA<sub>4</sub>Pb<sub>5</sub>I<sub>16</sub> memory single crystal to achieve ultrafast stepped-type carrier transport from the low n-value phases to the high n-value phases in the high-quality (BA<sub>0.75</sub>PFA<sub>0.25</sub>)<sub>2</sub>MA<sub>4</sub>Pb<sub>5</sub>I<sub>16</sub> films. These binary spacers and single-crystal-assisted crystallization strategies produce high-quality films, leading to fast carrier extraction and significant nonradiative recombination suppression. The resulting PSC presents a champion PCE of 21.15% with an impressive open circuit voltage (V<sub>OC</sub>) of 1.26 V, which is the record high efficiency and V<sub>OC</sub> for low n-value RPP solar cells (n ≤ 5).

Authors

Institutions

Publication Details

Journal
Advanced Materials
Published
2024-10-12
DOI
https://doi.org/10.1002/adma.202410408
Citations
13
Primary Topic
Perovskite Materials and Applications
Type
article
Field-Weighted Citation Impact
2.71

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Uniform Phase Permutation of Efficient Ruddlesden–Popper Perovskite Solar Cells via Binary Spacers and Single Crystal Coordination

Junmin Xia, Guojia Fang, Chao Liang, Yiwang Chen et al.
13 citations
Advanced Materials
Perovskite Materials and Applications
2.71
article

Uniform Phase Permutation of Efficient Ruddlesden–Popper Perovskite Solar Cells via Binary Spacers and Single Crystal Coordination

Junmin Xia, Guojia Fang, Chao Liang, Yiwang Chen, Dejian Yu, Shengchun Yang, Nan Zhang, Xiaolong Liu, Haibin Wang, Zijia Li, Hao Gu, Jin‐Feng Liao, Xianqiang Xie, Yibo Zhou
article en
13 citations

Abstract

2D Ruddlesden-Popper perovskites (RPPs) have attracted extensive attention in recent years due to their excellent environmental stability. However, the power conversion efficiency (PCE) of RPP solar cells is much lower than that of 3D perovskite solar cells (PSCs), mainly attributed to their poor carrier transport performance and excessive heterogeneous phases. Herein, the binary spacers (n-butylammonium, BA and benzamidine, PFA) are introduced to regulate the crystallization kinetics and n-value phase distribution to form uniform phase permutation of RPP films. The study then incorporates n = 5 BA<sub>2</sub>MA<sub>4</sub>Pb<sub>5</sub>I<sub>16</sub> memory single crystal to achieve ultrafast stepped-type carrier transport from the low n-value phases to the high n-value phases in the high-quality (BA<sub>0.75</sub>PFA<sub>0.25</sub>)<sub>2</sub>MA<sub>4</sub>Pb<sub>5</sub>I<sub>16</sub> films. These binary spacers and single-crystal-assisted crystallization strategies produce high-quality films, leading to fast carrier extraction and significant nonradiative recombination suppression. The resulting PSC presents a champion PCE of 21.15% with an impressive open circuit voltage (V<sub>OC</sub>) of 1.26 V, which is the record high efficiency and V<sub>OC</sub> for low n-value RPP solar cells (n ≤ 5).

Advanced MaterialsVol. 36(48)
Shandong University (CN), University of Macau (MO), Wuhan University (CN), Nanjing University of Posts and Telecommunications (CN), Henan Academy of Sciences (CN), State Key Laboratory of Crystal Materials, Jiangxi Normal University (CN), Xi'an Jiaotong University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 9%
Perovskite Materials and Applications
2.71
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.