SOLAR ENERGY
·
2019
·
IF 4.674
Jiang He,Tianhui Li,Xueping Liu,Hang Su,Zhiliang Ku,Jie Zhong,Fuzhi Huang,Yong Peng,Yi-Bing Cheng
In this research, we investigated the influence of phase transition in four standard perovskite materials on the device stability under thermal cycling (TC) condition, which is listed in International Electrotechnical Commission (IEC) stability tests criteria. The evolution of morphology, phase structure and charge carrier dynamics of four type perovskite materials throughout thermal cycling were analyzed. It was found that the cubic to tetragonal phase transition of MAPbI 3 caused the quick degradation of the device, the α to δ phase transition in FAPbI 3 and FA 0.6 MA 0.4 PbI 3 resulted in sustained efficiency loss, while the FA 0.9 Cs 0.1 PbI 3 was more stable compared to above three perovskites under the same test condition. The FA 0.9 Cs 0.1 PbI 3 device retained nearly 88% of its initial efficiency after 200 temperature cycles between −30 °C and 85 °C, which could be ascribed to its successful stabilization of perovskite structure.
研究领域:
材料科学
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光伏技术
·
物理化学
✓ 已验证
DOI
高影响因子
PHYSICAL CHEMISTRY CHEMICAL PHYSICS
·
2014
·Vol. 16
·期 36
·19206-19211
·
IF 4.198
Siliu Lv,Shuping Pang,Yuanyuan Zhou,Nitin P. Padture,Hao Hu,Li Wang,Xinhong Zhou,Huimin Zhu,Lixue Zhang,Changshui Huang,Guanglei Cui
Formamidinium (FA) lead triiodide perovskite with chlorine addition (NH2CHNH2PbI(3−x)Clx) is employed as a light harvester in mesoscopic solar cells for the first time. It is demonstrated that a phase-pure FAPbI(3−x)Clx perovskite layer can be synthesized using a one-step solution-process at 140 °C, and the resultant solar cells deliver a maximum power conversion efficiency of 7.51%, which is the most efficient formamidinium-lead-halide perovskite mesoscopic solar cell employing a polymer hole-transporting layer. The effects of the thermal annealing temperature on the quality/morphology of the perovskite layer and the solar cells performance are discussed. The advantages offered by the one-step solution-processing method and the reduced bandgap make FAPbI(3−x)Clx perovskites an attractive choice for future hybrid photovoltaics.
研究领域:
材料科学
·
光伏技术
·
能源研究
✓ 已验证
DOI
高影响因子
CHEMICAL ENGINEERING JOURNAL
·
2026
·
IF 12.5
Alamgeer Khan,Hyunseo Lee,Shurouq Abdulqadir Mohammed,Muhammad Quddamah Khokhar,Hasnain Yousuf,Sangheon Park,Jaeki Jeong,Junsin Yi
Perovskite/silicon tandem photovoltaics offer a compelling pathway to surpass the efficiency limits of single-junction silicon. However, perimeter-induced recombination and shunting in n-type TOPCon bottom cells remain a critical barrier to achieving high tandem performance. Here, we present a simple and scalable Nafion-based edge-engineering approach designed to selectively passivate the damaged wafer perimeter without altering the poly-Si/SiOₓ contact. The ionomer forms a stable ionic barrier that suppresses edge-related recombination, thereby improving carrier collection in the bottom sub-cell. As a result, the Nafion-passivated n-type TOPCon cells achieved a power conversion efficiency (PCE) of 23.37%, with reduced series resistance and enhanced external quantum efficiency (EQE) across the visible and near-infrared range. Integration with a high-performance nip-structured FAPbI₃ perovskite top cell (23.62%) enables the four-terminal (4 T) tandem configuration to reach a combined PCE of 30.01% under a bifacial operation with a rear albedo of 0.3 sun. Furthermore, PVsyst simulations at the system level indicate a high-performance ratio of 0.859, highlighting substantial energy-yield potential and supporting the practical viability of this tandem architecture for large-scale deployment.
✓ 已验证
DOI
高影响因子
Small
·
2025
·Vol. 21
·期 35
·2506100
·
IF 12.1
Zhengjun Liu,Yuxiao Fang,Zhaohui Cai,Yijun Liu,Xinyu Zhao,Qing Liu,Lixing Kang,Jianyu Yuan,Chun Zhao
Artificial neural networks based on artificial synaptic thin-film transistors (ASTFTs) offer promising opportunities for efficient and scalable information processing. However, implementing both spatial and temporal processing within a unified system requires complex hybrid network architectures, placing high demands on the tunability of individual synaptic devices. Here, we report a reconfigurable photosensitive synaptic transistor composed of FAPbI₃ colloidal quantum dots (CQDs) and an InO x channel, integrated with a modulation scheme tailored for hybrid convolutional-sequence neural computing. The device enables mode-specific plasticity through programmable optical and electrical stimuli. For spatial signal processing, it achieves a long-term potentiation (LTP) linearity of 0.062, long-term depression (LTD) linearity of 0.143, and an asymmetry ratio (AR) of 0.185. For temporal learning, the dynamic fading memory (FM) time constant is tunable from 42 to 75 ms, enabling dynamic short-term memory (STM) behavior. Utilizing these synaptic features, we construct a hybrid CNN-GRU neuromorphic system that achieves 94.2% accuracy in real-time gesture recognition within only 7 training epochs, using a custom dataset over 200 times larger than conventional benchmarks.This work demonstrates a unified neuromorphic hardware platform capable of spatiotemporal cognition, offering new strategies for the development of intelligent optoelectronic systems.
研究领域:
神经形态工程
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光电子学
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人工智能
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神经网络
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材料科学
·
认知计算
✓ 已验证
产品关联
DOI
PubMed
高影响因子
危险品化学品经营许可证（带存储）