10 October 2024 | Ming Deng, Ziqing Li, Shiyuan Liu, Xiaosheng Fang & Limin Wu
A charge-assisted oriented assembly film-formation process enables wafer-scale integration of highly oriented nanosheets of two-dimensional (2D) perovskite oxides, achieving high photosensitivity and fast response speed. This method allows for the fabrication of ultra-flexible 256-pixel devices with conformal imaging capabilities and efficient motion recognition with over 99.8% accuracy. The process involves using a green, pollution-free water-ethanol cosolvent system to achieve controlled thickness and ordered orientation of nanosheets, resulting in a highly ordered structure with shallow-trap dominance. This structure enhances carrier transport and reduces recombination, leading to improved performance compared to traditional 2D perovskite oxide-based photodetectors. The device demonstrates high-quality single-frame imaging, overcoming the ghosting issue, and enables efficient motion recognition through a trained convolutional neural network (CNN) model. The work provides a universal strategy for large-scale integration of 2D perovskite oxides in advanced optoelectronics, highlighting their potential for future applications in microelectronics and flexible electronics. The study also confirms the universality of the fabrication strategy for various 2D perovskite oxides, demonstrating the versatility of material-to-substrate integration and its functionality in complex applications. The results show that the device maintains high performance even under flexible and bending conditions, with consistent imaging results. The integration of the device with flexible substrates and its ability to conform to arbitrary shapes further highlight its potential for advanced optoelectronic applications. The study also demonstrates the effectiveness of the device in motion recognition, with high accuracy in recognizing motion trajectories in multiple directions. The work provides important insights into the large-area fabrication and utilization of 2D perovskite oxides in advanced optoelectronics.A charge-assisted oriented assembly film-formation process enables wafer-scale integration of highly oriented nanosheets of two-dimensional (2D) perovskite oxides, achieving high photosensitivity and fast response speed. This method allows for the fabrication of ultra-flexible 256-pixel devices with conformal imaging capabilities and efficient motion recognition with over 99.8% accuracy. The process involves using a green, pollution-free water-ethanol cosolvent system to achieve controlled thickness and ordered orientation of nanosheets, resulting in a highly ordered structure with shallow-trap dominance. This structure enhances carrier transport and reduces recombination, leading to improved performance compared to traditional 2D perovskite oxide-based photodetectors. The device demonstrates high-quality single-frame imaging, overcoming the ghosting issue, and enables efficient motion recognition through a trained convolutional neural network (CNN) model. The work provides a universal strategy for large-scale integration of 2D perovskite oxides in advanced optoelectronics, highlighting their potential for future applications in microelectronics and flexible electronics. The study also confirms the universality of the fabrication strategy for various 2D perovskite oxides, demonstrating the versatility of material-to-substrate integration and its functionality in complex applications. The results show that the device maintains high performance even under flexible and bending conditions, with consistent imaging results. The integration of the device with flexible substrates and its ability to conform to arbitrary shapes further highlight its potential for advanced optoelectronic applications. The study also demonstrates the effectiveness of the device in motion recognition, with high accuracy in recognizing motion trajectories in multiple directions. The work provides important insights into the large-area fabrication and utilization of 2D perovskite oxides in advanced optoelectronics.