Composition-engineered intrinsic stability in 2D perovskite optoelectronic synapses for neuromorphic vision
7 affiliations
- 1College of Physics Science and Technology, Hebei University, Baoding 071002, China.
- 2School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China.
- 3Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool L69 3BX, UK.
- 4College of Physics and Electronic Engineering, Hengyang Normal University, Hengyang 421008, China.
- 5College of Advanced Interdisciplinary Studies & Hunan Provincial Key Laboratory of Novel Nano-Optoelectronic Information Materials and Devices, National University of Defense Technology, Changsha 410073, China.
- 6Hunan Institute of Optoelectronic Integration, College of Materials Science and Engineering, Hunan University, Changsha 410082, China.
- 7School of Physics and Electronics, Hunan Normal University, Changsha 410081, China.
Abstract
Operational instability remains a key obstacle for halide perovskites in neuromorphic optoelectronics, where sustained and reproducible photoresponses are required for in-sensor computing. Here, we report vapor-phase growth of composition-tunable two-dimensional (2D) inorganic perovskites, Cs x Rb₁₋ x PbBr₃ (0 ≤ x ≤ 1), and show that A-site cation alloying provides an effective route to simultaneously improve optical performance and structural robustness. By mapping the full Cs-Rb compositional space, we identify a narrow intermediate regime (x ≈ 0.8) where lattice strain is minimized and defect formation is suppressed. Perovskites in this regime exhibit substantially enhanced resistance to moisture, thermal stress and ion migration compared with either end member. These stability gains translate directly to device operation, enabling broadband photodetectors with fast response, high reproducibility and long-term durability. Using the optimized Cs0.81Rb0.19PbBr₃ composition, we further demonstrate optoelectronic synaptic devices that reproduce key synaptic functions, including paired-pulse facilitation and light-programmable synaptic weights. Integrated into a spiking neural network, the devices enable real-time fire detection with 85% accuracy while maintaining stable performance over 7 days. This work establishes composition-engineered 2D inorganic perovskites as a robust platform for neuromorphic vision and energy-efficient in-sensor computing.
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BibTeX
@article{li2026compositionengineered,
title = {{Composition-engineered intrinsic stability in 2D perovskite optoelectronic synapses for neuromorphic vision}},
author = {Honglai Li and Wei Li and Herong Sheng and Changhao Liu and Wenjun Yang and Jinpeng Zhao and Shida Feng and Biyuan Zheng and Chenglin He and Jiahuan Ren and Liang Ma and Tingzhao Fu and Chun Zhao and Yuxiao Fang and Weihao Zheng and Dong Li and Zhihong Zhu and Anlian Pan},
journal = {National science review},
year = {2026},
month = jul,
doi = {10.1093/nsr/nwag453},
url = {https://europepmc.org/article/PMC/PMC13717458},
note = {CC BY},
}
RIS
TY - JOUR
TI - Composition-engineered intrinsic stability in 2D perovskite optoelectronic synapses for neuromorphic vision
AU - Honglai Li
AU - Wei Li
AU - Herong Sheng
AU - Changhao Liu
AU - Wenjun Yang
AU - Jinpeng Zhao
AU - Shida Feng
AU - Biyuan Zheng
AU - Chenglin He
AU - Jiahuan Ren
AU - Liang Ma
AU - Tingzhao Fu
AU - Chun Zhao
AU - Yuxiao Fang
AU - Weihao Zheng
AU - Dong Li
AU - Zhihong Zhu
AU - Anlian Pan
PY - 2026
DA - 2026/07/22
JO - National science review
DO - 10.1093/nsr/nwag453
UR - https://europepmc.org/article/PMC/PMC13717458
AB - Operational instability remains a key obstacle for halide perovskites in neuromorphic optoelectronics, where sustained and reproducible photoresponses are required for in-sensor computing. Here, we report vapor-phase growth of composition-tunable two-dimensional (2D) inorganic perovskites, Cs x Rb₁₋ x PbBr₃ (0 ≤ x ≤ 1), and show that A-site cation alloying provides an effective route to simultaneously improve optical performance and structural robustness. By mapping the full Cs-Rb compositional space, we identify a narrow intermediate regime (x ≈ 0.8) where lattice strain is minimized and defect formation is suppressed. Perovskites in this regime exhibit substantially enhanced resistance to moisture, thermal stress and ion migration compared with either end member. These stability gains translate directly to device operation, enabling broadband photodetectors with fast response, high reproducibility and long-term durability. Using the optimized Cs0.81Rb0.19PbBr₃ composition, we further demonstrate optoelectronic synaptic devices that reproduce key synaptic functions, including paired-pulse facilitation and light-programmable synaptic weights. Integrated into a spiking neural network, the devices enable real-time fire detection with 85% accuracy while maintaining stable performance over 7 days. This work establishes composition-engineered 2D inorganic perovskites as a robust platform for neuromorphic vision and energy-efficient in-sensor computing.
SN - 2095-5138
SN - 2053-714X
ER -