Zhao Lei, Gao Yang, Fu Xin, Chen Yu, Zhang Bin, Xuan Fuzhen
Key Laboratory for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, 200237, China.
Shanghai Key Laboratory of Intelligent Sensing and Detection, East China University of Science and Technology, Shanghai, 200237, China.
Small Methods. 2025 Apr;9(4):e2401341. doi: 10.1002/smtd.202401341. Epub 2024 Oct 31.
To facilitate the development of efficient neuromorphic perception and computation, it is crucial to explore optoelectronic synaptic devices that integrate perceptual and computational capabilities. Various materials such as oxide semiconductors, conjugated organic polymers, transition metal sulfides, perovskite materials, and metal nanoparticles, along with their composites, are utilized in constructing these devices. However, optoelectronic synaptic devices based on 2D covalent organic frameworks (COFs) is rarely reported. In this study, an anthracene-based 2D COF (COF-DaTp) film is prepared using a room-temperature interface-confined strategy and utilized it as the active layer in an optoelectronic synaptic device with an Al/COF-DaTp/ITO configuration. The device demonstrated dual optoelectronic modulation, exhibiting significant optoelectronic resistive switching in response to light pulses, achieving 32 photoconductive states. Moreover, it exhibited history-dependent memristive behavior in voltage scans and electrical pulses, with a comparable diversity of 32 conductive states. The photodual-responsive properties of the COF-DaTp-based synaptic device enable it to simultaneously perform optical sensing and basic image denoising and recognition tasks, significantly enhancing recognition accuracy and reducing the number of training epochs compared to datasets without noise mitigation. This work opens the door for the application of 2D COF-based optoelectronic synaptic devices in visual computational processing.
为了促进高效神经形态感知和计算的发展，探索集成感知和计算能力的光电突触器件至关重要。各种材料，如氧化物半导体、共轭有机聚合物、过渡金属硫化物、钙钛矿材料和金属纳米颗粒及其复合材料，被用于构建这些器件。然而，基于二维共价有机框架（COF）的光电突触器件鲜有报道。在本研究中，采用室温界面受限策略制备了一种基于蒽的二维COF（COF-DaTp）薄膜，并将其用作具有Al/COF-DaTp/ITO结构的光电突触器件的有源层。该器件展示了双光电调制，对光脉冲表现出显著的光电电阻开关特性，实现了32种光电导状态。此外，它在电压扫描和电脉冲中表现出依赖历史的忆阻行为，具有32种导电状态的可比多样性。基于COF-DaTp的突触器件的光双响应特性使其能够同时执行光学传感以及基本的图像去噪和识别任务，与未进行噪声缓解的数据集相比，显著提高了识别准确率并减少了训练轮次。这项工作为基于二维COF的光电突触器件在视觉计算处理中的应用打开了大门。
