Efficiently screening organic ligands by machine learning for stabilizing 2D/3D perovskites

Currently, the commercial photovoltaic applications of non-toxic tin-halide perovskites are still fundamentally restricted by their intrinsic phase instability.

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Publication Details

Journal
Journal of Materials Chemistry A
Published
2025-01-01
DOI
https://doi.org/10.1039/d5ta02231b
Citations
1
Primary Topic
Perovskite Materials and Applications
Type
article
Field-Weighted Citation Impact
0.73
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article

Efficiently screening organic ligands by machine learning for stabilizing 2D/3D perovskites

Ruiqing Dong, Chengxu Zhang, Wei Zhang, Minghui Shang et al.
1 citations
Journal of Materials Chemistry A
Perovskite Materials and Applications
0.73
article

Efficiently screening organic ligands by machine learning for stabilizing 2D/3D perovskites

Ruiqing Dong, Chengxu Zhang, Wei Zhang, Minghui Shang, Jinju Zheng, Zuobao Yang, Jing Zhang, Qiao Liu, Weiyou Yang, Dongsheng Chen, Yong Xu
article en
1 citations

Abstract

Currently, the commercial photovoltaic applications of non-toxic tin-halide perovskites are still fundamentally restricted by their intrinsic phase instability.

Journal of Materials Chemistry AVol. 13(25)
Ningbo University (CN), Guangxi University (CN), Ningbo University of Technology (CN), Shanghai University of Electric Power (CN)
Openalex Percentile: Top 28%
Perovskite Materials and Applications
0.73
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Efficiently screening organic ligands by machine learning for stabilizing 2D/3D perovskites — Ruiqing Dong, Chengxu Zhang, et al. · Journal of Materials Chemistry A (2025) | TGRS Research Map | TGRS