Huili Liang, Xiaoyan Tang, Hang Shao, Rui Zhu, Shizhi Deng, Xiaozhi Zhan, Tao Zhu, Jiwei Wang, Jihua Zhang, Guangyu Zhang, Zengxia Mei
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Boosted by the interfacial V<sub>O</sub> <sup>2+</sup> defects and its slow neutralization rate, the enhanced electron tunneling process at metal/a-Ga<sub>2</sub>O<sub>3</sub> interface produces remarkable X-ray-induced post-synaptic current, contributing to a sensitivity of 20.5, 64.3, 164.1 µC mGy<sup>-1</sup> cm<sup>-2</sup> for the 1st, 5th, and 10th excitation periods, respectively. Further, a 64 × 64 imaging sensor is constructed on a commercial amorphous Si (a-Si) thin film transistor (TFT) array. The image contrast can be apparently improved under a series of X-ray pulses due to an outstanding long-term plasticity of the single pixel, which is beneficial to the subsequent image recognition and classification based on artificial neural network. The merits of large-scale production ability and good compatibility with modern microelectronic techniques belonging to amorphous oxide semiconductors may promote the development of neuro-inspired X-ray imagers and corresponding machine vision systems.</p>","PeriodicalId":117,"journal":{"name":"Advanced Science","volume":null,"pages":null},"PeriodicalIF":14.3000,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Retina-Inspired X-Ray Optoelectronic Synapse Using Amorphous Ga<sub>2</sub>O<sub>3</sub> Thin Film.\",\"authors\":\"Huili Liang, Xiaoyan Tang, Hang Shao, Rui Zhu, Shizhi Deng, Xiaozhi Zhan, Tao Zhu, Jiwei Wang, Jihua Zhang, Guangyu Zhang, Zengxia Mei\",\"doi\":\"10.1002/advs.202410761\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Machine vision techniques are widely applied for object identification in daily life and industrial production, where images are captured and processed by sensors, memories, and processing units sequentially. 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引用次数: 0
摘要
机器视觉技术被广泛应用于日常生活和工业生产中的物体识别,图像由传感器、存储器和处理单元依次捕捉和处理。神经形态光电突触作为一种提高图像识别效率的优选方案,在非电离辐射范围内受到热捧,但在包括 X 射线在内的电离辐射范围内却鲜有应用。本研究利用非晶态 Ga2O3(a-Ga2O3)薄膜提出了一种 X 射线光电突触。在界面 VO 2+ 缺陷及其缓慢中和速率的推动下,金属/a-Ga2O3 界面上增强的电子隧道过程产生了显著的 X 射线诱导突触后电流,使第 1、5 和 10 个激发周期的灵敏度分别达到 20.5、64.3 和 164.1 µC mGy-1 cm-2。此外,还在商用非晶硅(a-Si)薄膜晶体管(TFT)阵列上构建了一个 64 × 64 成像传感器。由于单个像素具有出色的长期可塑性,在一系列 X 射线脉冲下,图像对比度可以得到明显改善,这有利于后续基于人工神经网络的图像识别和分类。非晶氧化物半导体的大规模生产能力和与现代微电子技术的良好兼容性,可促进神经启发 X 射线成像仪和相应的机器视觉系统的发展。
Retina-Inspired X-Ray Optoelectronic Synapse Using Amorphous Ga2O3 Thin Film.
Machine vision techniques are widely applied for object identification in daily life and industrial production, where images are captured and processed by sensors, memories, and processing units sequentially. Neuromorphic optoelectronic synapses, as a preferable option to promote the efficiency of image recognition, are hotly pursued in non-ionizing radiation range, but rarely in ionizing radiation including X-rays. Here, the study proposes an X-ray optoelectronic synapse using amorphous Ga2O3 (a-Ga2O3) thin film. Boosted by the interfacial VO2+ defects and its slow neutralization rate, the enhanced electron tunneling process at metal/a-Ga2O3 interface produces remarkable X-ray-induced post-synaptic current, contributing to a sensitivity of 20.5, 64.3, 164.1 µC mGy-1 cm-2 for the 1st, 5th, and 10th excitation periods, respectively. Further, a 64 × 64 imaging sensor is constructed on a commercial amorphous Si (a-Si) thin film transistor (TFT) array. The image contrast can be apparently improved under a series of X-ray pulses due to an outstanding long-term plasticity of the single pixel, which is beneficial to the subsequent image recognition and classification based on artificial neural network. The merits of large-scale production ability and good compatibility with modern microelectronic techniques belonging to amorphous oxide semiconductors may promote the development of neuro-inspired X-ray imagers and corresponding machine vision systems.
期刊介绍:
Advanced Science is a prestigious open access journal that focuses on interdisciplinary research in materials science, physics, chemistry, medical and life sciences, and engineering. The journal aims to promote cutting-edge research by employing a rigorous and impartial review process. It is committed to presenting research articles with the highest quality production standards, ensuring maximum accessibility of top scientific findings. With its vibrant and innovative publication platform, Advanced Science seeks to revolutionize the dissemination and organization of scientific knowledge.