接近红外的有机异构结构中的 Gate-Tunable 正向和负向光导,用于传感器内计算
Yunqi Xu1,2, Xiaolu Xu3, Ying Huang4
1Key Lab of Fabrication Technologies for Integrated Circuits, Institute of Microelectronics, Chinese Academy of Sciences, Beijing, 100029, China.
Advanced materials (Deerfield Beach, Fla.)
|May 6, 2024
概括
本研究介绍了一种有机异构结构,用于高效的近红外 (NIR) 传感器内计算. 这种灵活的传感器可实现实时图像处理和高精度的分类,推进神经形态视觉系统.
科学领域:
- 有机电子学有机电子学
- 神经形态计算是一种神经形态计算.
- 传感器技术 传感器技术
背景情况:
- 人工智能中传感器数据的快速增长影响了处理速度和功率效率.
- 传感器内计算通过在传感器层面整合传感,内存和处理来提供解决方案.
- 有机半导体,具有灵活性和可调节的带隙,在传感器内计算方面尚未得到充分探索.
研究的目的:
- 为近红外 (NIR) 传感器内计算开发一个有机异构结构.
- 为了证明使用有机材料用于先进的传感器应用的可行性.
- 直接在传感器内实现高效的图像处理和分类.
主要方法:
- 使用部分重叠的p型和n型有机薄膜制造有机异构结构.
- 兼容常规光刻法,实现高集成密度 (高达520个设备cm-2).
- 调节门电压以实现对1050nm NIR光的可调节的正和负光反应.
主要成果:
- 在NIR光下表现出强大的光响应,适用于传感器内计算.
- 建立了响应率和网关电压之间的线性相关性,使实时矩阵乘法成为可能.
- 在图像处理和分类任务中实现了97.06%的高识别精度.
- 高集成密度通过5微米的通道长度实现.
结论:
- 开发的有机异构结构促进了高效和精确的NIR传感器内计算.
- 这项工作为可重新配置和多功能NIR神经形态视觉系统奠定了基础.
- 有机半导体对先进的,集成的传感器应用有很大的潜力.
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