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2. Crystallization Regulation and Defect Passivation for Efficient Inverted Wide‐Bandgap Perovskite Solar Cells with over 21% Efficiency

Author

Su, Gangfeng, primary, Yu, Runnan, additional, Dong, Yiman, additional, He, Zhangwei, additional, Zhang, Yuling, additional, Wang, Ruyue, additional, Dang, Qi, additional, Sha, Shihao, additional, Lv, Qianglong, additional, Xu, Zhiyang, additional, Liu, Zhuoxu, additional, Li, Minghua, additional, and Tan, Zhan'ao, additional

Published
2023
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3. Crystallization Regulation and Defect Passivation for Efficient Inverted Wide‐Bandgap Perovskite Solar Cells with over 21% Efficiency.

Author

Su, Gangfeng, Yu, Runnan, Dong, Yiman, He, Zhangwei, Zhang, Yuling, Wang, Ruyue, Dang, Qi, Sha, Shihao, Lv, Qianglong, Xu, Zhiyang, Liu, Zhuoxu, Li, Minghua, and Tan, Zhan'ao

Subjects
SOLAR cells, PEROVSKITE, CRYSTALLIZATION, OPEN-circuit voltage, INTERMOLECULAR interactions
Abstract

Wide‐bandgap (WBG) perovskite solar cells (PSCs) have drawn great attention owing to their promising potential for constructing efficient tandem solar cells. However, the rapid crystallization results in poor film properties and easy formation of defects, thereby greatly restricting the acquisition of a small open‐circuit voltage (VOC) deficit due to the severe nonradiative recombination. Herein, it introduced the triethanolamine borate (TB) to effectively slow down the rapid crystallization for preparing highly crystalline and uniform WBG perovskite films with reduced defects. The strong intermolecular interaction (e.g., coordination and hydrogen bond) between TB and perovskite can suppress the halide vacancy formation and inhibit phase segregation for improving long‐term stability. The devices based on a 1.65 eV perovskite absorber achieved a high efficiency of 21.55% with a VOC of 1.24 V, demonstrating the VOC deficit is as low as 0.41 V, which is one of the lowest reports. By combining a semitransparent WBG subcell with a narrow‐bandgap tin‐based PSC, the four‐terminal tandem solar cell delivers a high efficiency of 26.48%. [ABSTRACT FROM AUTHOR]

Published
2024
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5. Fisheye Image Calibration and Super-Resolution Method Based On Deep Learning

Author

Xiaohui Lin, Sha Shihao, Chang Kong, Wen Zhiwei, and Qiuming Luo

Subjects
Computer science, business.industry, Calibration (statistics), Deep learning, Perspective (graphical), ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Process (computing), Field of view, 02 engineering and technology, Convolutional neural network, law.invention, Lens (optics), Fisheye lens, law, Computer Science::Networking and Internet Architecture, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Computer vision, Artificial intelligence, business
Abstract

Fisheye lens is a kind of ultra-wide-angle lens, which can get more field of view information than ordinary perspective lens. However, there is radial lens distortion in the photos taken by fisheye lens. In order to improve the visual quality of fisheye images and to perform subsequent computer vision tasks, fisheye images must be calibrated first. Traditional calibration methods are often based on a specific type of fisheye lens, which is not universal, and often need to take multiple images of a calibration pattern (typically a checkerboard) for calibration. And limited by hardware, many fisheye cameras take photos with low resolution. The method proposed in this paper not only overcomes the above limitations, but also jointly solves the problem of image super-resolution, which makes the final result more appreciable. This method uses a depth convolution neural network model to predict the fisheye image correction parameters, and then completes the correction process, but also completes the image super-resolution processing. Our quantitative experiments have proved the feasibility and superiority of our method.

Published
2021

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