A near-infrared Sn-Pb perovskite imager with monolithic integration

Solution-processed Sn-Pb perovskites have emerged as promising candidates for near-infrared (NIR) photodetectors due to their low-cost, tunable bandgap and scalable fabrication. However, Sn<sup>2+</sup> oxidation creates Sn vacancies and undesirable p-type doping, resulting in high dark current and limited detectivity, which hinder the practical deployment of Sn-Pb perovskite photodetectors. Herein, we propose a Sn(SCN)<sub>2</sub> inorganic molecular surface passivation strategy to suppress Sn<sup>2+</sup> oxidation, significantly reduce surface defect density and enhance the optoelectronic properties (a dark current density of 10 nA cm<sup>-2</sup> at a bias of -0.1 V and a high specific detectivity of ~1.6 × 10<sup>13</sup> Jones). Leveraging this approach, we report the monolithically integrated Sn-Pb perovskite NIR imager with a complementary metal-oxide-semiconductor readout circuit. The imager, featuring a 640 × 512 pixel array with a 15 μm pixel pitch, achieves an external quantum efficiency of 76% at 940 nm and a modulation transfer function of 206.5 LW/PH at 50%. Furthermore, the Sn-Pb perovskite imager demonstrates advanced material recognition capabilities, including liquid identification, underscoring its potential in chemical sensing, biomedical imaging and industrial inspection.

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Publication Details

Journal
Light Science & Applications
Published
2026-01-20
DOI
https://doi.org/10.1038/s41377-025-02127-y
Primary Topic
Perovskite Materials and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

A near-infrared Sn-Pb perovskite imager with monolithic integration

Y. H. Liu, Ciyu Ge, Lingling Gao, L. Chen et al.
Light Science & Applications
Perovskite Materials and Applications
article

A near-infrared Sn-Pb perovskite imager with monolithic integration

Y. H. Liu, Ciyu Ge, Lingling Gao, L. Chen, Borui Jiang, Chao Chen, Yongcheng Zhu, Boxiang Song, Ping Fu, Jiang Tang, Chengjie Deng, Jiaxing Zhu, Qi Xu
article en

Abstract

Solution-processed Sn-Pb perovskites have emerged as promising candidates for near-infrared (NIR) photodetectors due to their low-cost, tunable bandgap and scalable fabrication. However, Sn<sup>2+</sup> oxidation creates Sn vacancies and undesirable p-type doping, resulting in high dark current and limited detectivity, which hinder the practical deployment of Sn-Pb perovskite photodetectors. Herein, we propose a Sn(SCN)<sub>2</sub> inorganic molecular surface passivation strategy to suppress Sn<sup>2+</sup> oxidation, significantly reduce surface defect density and enhance the optoelectronic properties (a dark current density of 10 nA cm<sup>-2</sup> at a bias of -0.1 V and a high specific detectivity of ~1.6 × 10<sup>13</sup> Jones). Leveraging this approach, we report the monolithically integrated Sn-Pb perovskite NIR imager with a complementary metal-oxide-semiconductor readout circuit. The imager, featuring a 640 × 512 pixel array with a 15 μm pixel pitch, achieves an external quantum efficiency of 76% at 940 nm and a modulation transfer function of 206.5 LW/PH at 50%. Furthermore, the Sn-Pb perovskite imager demonstrates advanced material recognition capabilities, including liquid identification, underscoring its potential in chemical sensing, biomedical imaging and industrial inspection.

Light Science & ApplicationsVol. 15(1)
nLIGHT (United States) (US), Dalian Institute of Chemical Physics (CN), Applied Pulsed Power (United States) (US), Wuhan National Laboratory for Optoelectronics (CN), State Key Laboratory of Pulsed Power Laser Technology, Huazhong University of Science and Technology (CN)
University of New South Wales, National Natural Science Foundation of China, China Postdoctoral Science Foundation, Huazhong University of Science and Technology, Natural Science Foundation of Hubei Province, Wuhan National Laboratory for Optoelectronics, Science, Technology and Innovation Commission of Shenzhen Municipality, State Key Laboratory of Pulsed Power Laser Technology, Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 83%
Perovskite Materials and Applications
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