在神经形态金属氧化物光传感器中,缺陷诱导的子间隙状态工程用于传感器内色彩处理
Eun Chong Ju1, Dong Hwan Byeon1, Jong Min Lee1
1Department of Intelligent Semiconductor Engineering, Chung-Ang University, Seoul, 06974, Republic of Korea. skpark@cau.ac.kr.
Materials horizons
|October 4, 2025
概括
研究人员使用subgap工程金属氧化物半导体开发了一种新的神经形光传感器. 这款紧型设备可为机器视觉系统提供高效的传感器内彩色图像处理,在没有复杂结构的情况下提高性能.
科学领域:
- 材料科学 材料科学 材料科学
- 神经科学是一个神经科学.
- 计算机工程 计算机工程
背景情况:
- 神经形态光传感器模仿人类视网膜用于机器视觉.
- 现有的设备往往由于异构连接或复杂的电路而受到复杂性,低分辨率和高能耗的影响.
研究的目的:
- 提出一个简化的神经形态光传感器,具有同质的通道结构.
- 为了展示传感器内彩色图像处理能力,使用subgap工程金属氧化物 (MO) 半导体.
主要方法:
- 通过使用性金属离子进行注,开发了subgap工程的MO半导体.
- 制造了一种具有同质通道结构的神经形光传感器.
- 使用这些光电晶体管的7 × 7阵列进行图像精制任务.
主要成果:
- 设计的MO光晶体管表现出广泛的光谱响应和模拟导电量调制.
- 用 (5%) 进行兴奋剂可实现全色检测和基于输入颜色的独特传感性能.
- 光传感器阵列成功地实现了颜色特征清晰度,降噪和对比度增强.
结论:
- 亚间隙设计的MO半导体为神经形态光传感器提供了一个紧而高效的解决方案.
- 开发的光晶体管实现了传感器内彩色图像处理,改进了机器视觉系统.
- 这种方法克服了基于异质连接的传统神经形态装置的局限性.
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