神经形态工程学
环境友好型
计算机科学
材料科学
人工智能
环境科学
人工神经网络
生态学
生物
作者
Mingyi Ding,Ting Jiang,Bin Wang,Yue‐Sheng Li,Junyao Zhang,Jia Huang,Deyang Ji,Wenping Hu
出处
期刊:Matter
[Elsevier]
日期:2024-03-05
卷期号:7 (5): 1736-1749
被引量:5
标识
DOI:10.1016/j.matt.2024.02.003
摘要
Transient electronic devices can help eliminate the growing environmental problem of "electronic pollution." However, their applications are severely limited by poor optoelectronic performance. Here, a new degradable polymeric dielectric material is synthesized by a one-step method for organic neuromorphic vision sensors (ONeuVSs). A high mobility of 2.74 cm2 V−1 s−1 and current on/off ratio greater than 109 were obtained. Moreover, we achieved excellent optical figures of merit with a maximum photosensitivity of 8.7 × 108 and maximum detectivity of 9.42 × 1016 Jones, which are the best values among transient electronic devices. The ONeuVS array could perform static image recognition with an accuracy of 92.7% and high-pass filtering behavior. More interestingly, both high-performance optical synapses and switching functional devices could be realized by modulating the organic semiconductors with or without alkyl chains. This study provides insights for developing a low-cost and environmentally friendly approach for constructing degradable ONeuVSs with sensing, memory, and processing in one device.
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